Safety and reliability for laser fabrication

ABSTRACT

Sensor data generated by a sensor of a computer numerically controlled machine can be compared with a forecast. The forecast can include expected sensor data for the sensor, over a course of an execution plan for making a cut with a movable laser cutting head. The sensor data can be generated during execution of the execution plan. During execution of the execution plan, the sensor data can be monitored and a deviation of from the forecast can be detected. It can be determined, based on the detecting, that an anomalous condition of the computer numerically controlled machine has occurred. Based on the determining, an action can be performed.

CROSS REFERENCE TO RELATED APPLICATIONS

The current application claims priority to U.S. Provisional PatentApplication No. 62/115,562 filed Feb. 12, 2015; U.S. Provisional PatentApplication No. 62/115,571 filed Feb. 12, 2015; U.S. Provisional PatentApplication No. 62/222,756 filed Sep. 23, 2015; U.S. Provisional PatentApplication No. 62/222,758 filed Sep. 23, 2015; International PatentApplication No. PCT/US2016/017903 filed Feb. 12, 2016; U.S. ProvisionalPatent Application No. 62/222,757 filed Sep. 23, 2015; and U.S. patentapplication Ser. No. 15/334,113 filed Oct. 25, 2016, Patented as U.S.Pat. No. 10,509,390; and is a continuation of U.S. patent applicationSer. No. 16/677,241 filed Nov. 7, 2019. The written description, claims,and drawings of all of the aforementioned applications are incorporatedherein by reference.

TECHNICAL FIELD

The subject matter described herein relates to manufacturing processesimplementing, or aided by, detection of anomalous conditions and theprocessing of sensor data in a CNC machine.

BACKGROUND

Manufacturing systems, such as “3-D” printers, laser cutters, CNCmachines, and the like, can be used to create complicated items wheretraditional manufacturing techniques like moldings or manual assemblyfail. Such automated methods receive instructions that specify the cuts,layers, patterns, etc. before a machine begins construction. Theinstructions can be in the form of computer files transferred to thememory of a computer controller for the machine and interpreted atrun-time to provide a series of steps in the manufacturing process.

SUMMARY

In one aspect, a method is provided comprising one or more operations.In another aspect, a system is provided having one or more componentsconfigured to perform one or more operations. The one or more operationscan include comparing sensor data generated by a sensor of a computernumerically controlled machine with a forecast. The forecast can begenerated based on the execution plan. The forecast can compriseexpected sensor data for the sensor over a course of an execution plan.The execution plan can be generated by one or more of a computernumerically controlled machine, a computer in electronic communicationwith the computer numerically controlled machine, or the like. Forexample, generating the execution plan can occurs via execution ofsoftware by a general purpose computing device in communication with thecomputer numerically controlled machine over a data connection.

The execution plan can be for making at least one cut with a movablelaser cutting head of the computer numerically controlled machine. Thesensor data can be generated during execution of the execution plan.

In some variations, the sensor can comprise a motion sensor. The motionsensor can be operatively connected to the movable laser cutting head tomeasure the motion of the movable laser cutting head.

During the execution of the execution plan the sensor data can bemonitored. A deviation from the forecast can be detected based on themonitoring of the sensor data.

A determination can be made that an anomalous condition of the computernumerically controlled machine has occurred. The determination can bebased on the detecting of a deviation from the forecast.

An action can be performed in response to determining the occurrence ofan anomalous condition of the computer numerically controlled machine.For example, the action can include a corrective action. A correctiveaction can include changing the motion of the movable laser cuttinghead.

The execution plan can comprise a motion plan for the laser cuttinghead. The execution plan can include commands for selectively activatingat least one other component of the computer numerically controlledmachine.

In some variations, the at least one other component can comprise one ormore of a fan, thermal control system, an air filter, a coolant pump, acamera, a lighting device, a laser, or other components.

The data connection between the general purpose computing device and thecomputer numerically controlled machine can include at least one of theInternet, a wide area network, a wireless network, a wired connection,or the like.

A method as in any preceding claim, wherein the sensor comprises amotion sensor operatively connected to the movable laser cutting head tomeasure motion of the movable laser cutting head.

A method as in any preceding claim, wherein the action compriseschanging the motion of the movable laser cutting head.

A method as in any preceding claim, wherein the execution plan comprisesa motion plan for the laser cutting head and commands for selectivelyactivating at least one other component of the computer numericallycontrolled machine. The at least one other component can include one ormore of a fan, thermal control system, an air filter, a coolant pump, acamera, a lighting device, a laser, or the like.

Implementations of the current subject matter can include, but are notlimited to, methods consistent with the descriptions provided herein aswell as articles that comprise a tangibly embodied machine-readablemedium operable to cause one or more machines (e.g., computers, etc.) toresult in operations implementing one or more of the described features.Similarly, computer systems are also described that may include one ormore processors and one or more memories coupled to the one or moreprocessors. A memory, which can include a computer-readable storagemedium, may include, encode, store, or the like one or more programsthat cause one or more processors to perform one or more of theoperations described herein. Computer implemented methods consistentwith one or more implementations of the current subject matter can beimplemented by one or more data processors residing in a singlecomputing system or multiple computing systems. Such multiple computingsystems can be connected and can exchange data and/or commands or otherinstructions or the like via one or more connections, including but notlimited to a connection over a network (e.g. the Internet, a wirelesswide area network, a local area network, a wide area network, a wirednetwork, or the like), via a direct connection between one or more ofthe multiple computing systems, etc.

DESCRIPTION OF DRAWINGS

The accompanying drawings, which are incorporated in and constitute apart of this specification, show certain aspects of the subject matterdisclosed herein and, together with the description, help explain someof the principles associated with the disclosed implementations. In thedrawings,

FIG. 1 is an elevational view of a CNC machine with a camera positionedto capture an image of the entire material bed and another camerapositioned to capture an image of a portion of the material bed,consistent with some implementations of the current subject matter;

FIG. 2 is a top view of the implementation of the CNC machine shown inFIG. 1 ;

FIG. 3A is a diagram illustrating one example of an SVG source file,consistent with some implementations of the current subject matter;

FIG. 3B is an example of a graphical representation of the cut path inthe CNC machine, consistent with some implementations of the currentsubject matter;

FIG. 3C is a diagram illustrating the machine file corresponding to thecut path and the source file, consistent with some implementations ofthe current subject matter;

FIG. 4A is a diagram illustrating the addition of images, consistentwith some implementations of the current subject matter;

FIG. 4B is a diagram illustrating the subtraction of images, consistentwith some implementations of the current subject matter;

FIG. 4C is a diagram illustrating the differencing of images to isolatea simulated internal lighting effect, consistent with someimplementations of the current subject matter;

FIG. 5 is a system diagram illustrating a computer receiving sensor datato compare with expected sensor data for the detection of anomalies inthe CNC machine, consistent with implementations of the current subjectmatter;

FIG. 6 is a process flow diagram illustrating detection of anomalies inthe CNC machine, consistent with implementations of the current subjectmatter. At, the motion plan can be generated by the motion planner;

FIG. 7 is a process flow chart illustrating features of a method for acontrolled shutdown, consistent with implementations of the currentsubject matter;

FIG. 8 is a process flow chart illustrating features of a method for arestarting the CNC machine after the controlled shutdown, consistentwith implementations of the current subject matter; and

FIG. 9 is a process flow chart consistent with implementations of thecurrent subject matter.

When practical, similar reference numbers denote similar structures,features, or elements.

DETAILED DESCRIPTION

The details of one or more variations of the subject matter describedherein are set forth in the accompanying drawings and the descriptionbelow. Other features and advantages of the subject matter describedherein will be apparent from the description and drawings, and from theclaims. While certain features of the currently disclosed subject mattermay be described for illustrative purposes in relation to usingmachine-vision for aiding automated manufacturing processes (e.g. a CNCprocess), it should be readily understood that such features are notintended to be limiting.

As used herein, the term “cutting” can generally refer to altering theappearance, properties, and/or state of a material. Cutting can include,for example, making a through-cut, engraving, bleaching, curing,burning, etc. Engraving, when specifically referred to herein, indicatesa process by which a CNC machine modifies the appearance of the materialwithout fully penetrating it. For example, in the context of a lasercutter, it can mean removing some of the material from the surface, ordiscoloring the material e.g. through an application of focusedelectromagnetic radiation delivering electromagnetic energy as describedbelow.

As used herein, the term “laser” includes any electromagnetic radiationor focused or coherent energy source that (in the context of being acutting tool) uses photons to modify a substrate or cause some change oralteration upon a material impacted by the photons. Lasers (whethercutting tools or diagnostic) can be of any desired wavelength, includingfor example, microwave, lasers, infrared lasers, visible lasers, UVlasers, X-ray lasers, gamma-ray lasers, or the like.

Also, as used herein, “cameras” includes, for example, visible lightcameras, black and white cameras, IR or UV sensitive cameras, individualbrightness sensors such as photodiodes, sensitive photon detectors suchas a photomultiplier tube or avalanche photodiodes, detectors ofinfrared radiation far from the visible spectrum such as microwaves,X-rays, or gamma rays, optically filtered detectors, spectrometers, andother detectors that can include sources providing electromagneticradiation for illumination to assist with acquisition, for example,flashes, UV lighting, etc.

Also, as used herein, reference to “real-time” actions includes somedegree of delay or latency, either programmed intentionally into theactions or as a result of the limitations of machine response and/ordata transmission. “Real-time” actions, as used herein, are intended toonly approximate an instantaneous response, or a response performed asquickly as possible given the limits of the system, and do not imply anyspecific numeric or functional limitation to response times or themachine actions resulting therefrom.

Also, as used herein, unless otherwise specified, the term “material” isthe material that is on the bed of the CNC machine. For example, if theCNC machine is a laser cutter, lathe, or milling machine, the materialis what is placed in the CNC machine to be cut, for example, the rawmaterials, stock, or the like. In another example, if the CNC machine isa 3-D printer, then the material is either the current layer, orpreviously existent layers or substrate, of an object being crafted bythe 3-D printing process. In yet another example, if the CNC machine isa printer, then the material can be the paper onto which the CNC machinedeposits ink.

Introduction

A computer numerical controlled (CNC) machine is a machine that is usedto add or remove material under the control of a computer. There can beone or more motors or other actuators that move one or more heads thatperform the adding or removing of material. For CNC machines that addmaterial, heads can incorporate nozzles that spray or release polymersas in a typical 3D printer. In some implementations, the heads caninclude an ink source such as a cartridge or pen. In the case of 3-Dprinting, material can be built up layer by layer until a fully realized3D object has been created. In some implementations, the CNC machine canscan the surface of a material such as a solid, a liquid, or a powder,with a laser to harden or otherwise change the material properties ofsaid material. New material may be deposited. The process can berepeated to build successive layers. For CNC machines that removematerial, the heads can incorporate tools such as blades on a lathe,drag knives, plasma cutters, water jets, bits for a milling machine, alaser for a laser cutter/engraver, etc.

FIG. 1 is an elevational view of a CNC machine 100 with a camerapositioned to capture an image of an entire material bed 150 and anothercamera positioned to capture an image of a portion of the material bed150, consistent with some implementations of the current subject matter.FIG. 2 is a top view of the implementation of the CNC machine 100 shownin FIG. 1 .

The CNC machine 100 shown in FIG. 1 corresponds to one implementation ofa laser cutter. While some features are described in the context of alaser cutter, this is by no means intended to be limiting. Many of thefeatures described below can be implemented with other types of CNCmachines. The CNC machine 100 can be, for example, a lathe, engraver,3D-printer, milling machine, drill press, saw, etc.

While laser cutter/engravers share some common features with CNCmachines, they have many differences and present particularlychallenging design constraints. A laser cutter/engraver is subject toregulatory guidelines that restrict the egress of electromagneticradiation from the unit when operating, making it challenging for lightto enter or escape the unit safely, for example to view or record animage of the contents. The beam of a laser cutter/engraver must berouted from the emitter to the area to be machined, potentiallyrequiring a series of optical elements such as lenses and mirrors. Thebeam of a laser cutter/engraver is easily misdirected, with a smallangular deflection of any component relating to the beam pathpotentially resulting in the beam escaping the intended path,potentially with undesirable consequences. A laser beam may be capableof causing material destruction if uncontrolled. A laser cutter/engravermay require high voltage and/or radio frequency power supplies to drivethe laser itself. Liquid cooling is common in laser cutter/engravers tocool the laser, requiring fluid flow considerations. Airflow isimportant in laser cutter/engraver designs, as air may becomecontaminated with byproducts of the laser's interaction with thematerial such as smoke, which may in turn damage portions of the machinefor example fouling optical systems. The air exhausted from the machinemay contain undesirable byproducts such as smoke that must be routed orfiltered, and the machine may need to be designed to prevent suchbyproducts from escaping through an unintended opening, for example bysealing components that may be opened. Unlike most machining tools, thekerf—the amount of material removed during the operation—is both smalland variable depending on the material being processed, the power of thelaser, the speed of the laser, and other factors, making it difficult topredict the final size of the object. Also unlike most machining tools,the output of the laser cutter/engraver is very highly dependent on thespeed of operation; a momentary slowing can destroy the workpiece bydepositing too much laser energy. In many machining tools, operatingparameters such as tool rotational speed and volume of material removedare easy to continuously predict, measure, and calculate, while lasercutter/engravers are more sensitive to material and other conditions. Inmany machining tools, fluids are used as coolant and lubricant; in lasercutter/engravers, the cutting mechanism does not require physicalcontact with the material being affected, and air or other gasses may beused to aid the cutting process in a different manner, by facilitatingcombustion or clearing debris, for example.

The CNC machine 100 can have a housing surrounding an enclosure orinterior area defined by the housing. The housing can include walls, abottom, and one or more openings to allow access to the CNC machine 100,etc. There can be a material bed 150 that can include a top surface onwhich the material 140 generally rests.

In the implementation of FIG. 1 , the CNC machine can also include anopenable barrier as part of the housing to allow access between anexterior of the CNC machine and an interior space of the CNC machine.The openable barrier can include, for example, one or more doors,hatches, flaps, and the like that can actuate between an open positionand a closed position. The openable barrier can attenuate thetransmission of light between the interior space and the exterior whenin a closed position. Optionally, the openable barrier can betransparent to one or more wavelengths of light or be comprised ofportions of varying light attenuation ability. One type of openablebarrier can be a lid 130 that can be opened or closed to put material140 on the material bed 150 on the bottom of the enclosure. Variousexample implementations discussed herein include reference to a lid. Itwill be understood that absent explicit disclaimers of other possibleconfigurations of the operable barrier or some other reason why a lidcannot be interpreted generically to mean any kind of openable barrier,the use of the term lid is not intended to be limiting. One example ofan openable barrier can be a front door that is normally vertical whenin the closed position and can open horizontally or vertically to allowadditional access. There can also be vents, ducts, or other accesspoints to the interior space or to components of the CNC machine 100.These access points can be for access to power, air, water, data, etc.Any of these access points can be monitored by cameras, positionsensors, switches, etc. If they are accessed unexpectedly, the CNCmachine 100 can execute actions to maintain the safety of the user andthe system, for example, a controlled shutdown. In otherimplementations, the CNC machine 100 can be completely open (i.e. nothaving a lid 130, or walls). Any of the features described herein canalso be present in an open configuration, where applicable.

As described above, the CNC machine 100 can have one or more movableheads that can be operated to alter the material 140. In someimplementations, for example the implementation of FIG. 1 , the movablehead can be the head 160. There may be multiple movable heads, forexample two or more mirrors that separately translate or rotate in ableto locate a laser beam, or multiple movable heads that operateindependently, for example two mill bits in a CNC machine capable ofseparate operation, or any combination thereof. In the case of alaser-cutter CNC machine, the head 160 can include optical components,mirrors, cameras, and other electronic components used to perform thedesired machining operations. Again, as used herein, the head 160typically is a laser-cutting head, but can be a movable head of anytype.

The head 160, in some implementations, can be configured to include acombination of optics, electronics, and mechanical systems that can, inresponse to commands, cause a laser beam or electromagnetic radiation tobe delivered to cut or engrave the material 140. The CNC machine 100 canalso execute operation of a motion plan for causing movement of themovable head. As the movable head moves, the movable head can deliverelectromagnetic energy to effect a change in the material 140 that is atleast partially contained within the interior space. In oneimplementation, the position and orientation of the optical elementsinside the head 160 can be varied to adjust the position, angle, orfocal point of a laser beam. For example, mirrors can be shifted orrotated, lenses translated, etc. The head 160 can be mounted on atranslation rail 170 that is used to move the head 160 throughout theenclosure. In some implementations the motion of the head can be linear,for example on an X axis, a Y axis, or a Z axis. In otherimplementations, the head can combine motions along any combination ofdirections in a rectilinear, cylindrical, or spherical coordinatesystem.

A working area for the CNC machine 100 can be defined by the limitswithin which the movable head can cause delivery of a machining action,or delivery of a machining medium, for example electromagnetic energy.The working area can be inside the interior space defined by thehousing. It should be understood that the working area can be agenerally three-dimensional volume and not a fixed surface. For example,if the range of travel of a vertically oriented laser cutter is a10″×10″ square entirely over the material bed 150, and the laser fromthe laser beam comes out of the laser cutter at a height of 4″ above thematerial bed of the CNC machine, that 400 in² volume can be consideredto be the working area. Restated, the working area can be defined by theextents of positions in which material 140 can be worked by the CNCmachine 100, and not necessarily tied or limited by the travel of anyone component. For example, if the head 160 could turn at an angle, thenthe working area could extend in some direction beyond the travel of thehead 160. By this definition, the working area can also include anysurface, or portion thereof, of any material 140 placed in the CNCmachine 100 that is at least partially within the working area, if thatsurface can be worked by the CNC machine 100. Similarly, for oversizedmaterial, which may extend even outside the CNC machine 100, only partof the material 140 might be in the working area at any one time.

The translation rail 170 can be any sort of translating mechanism thatenables movement of the head 160 in the X-Y direction, for example asingle rail with a motor that slides the head 160 along the translationrail 170, a combination of two rails that move the head 160, acombination of circular plates and rails, a robotic arm with joints,etc.

Components of the CNC machine 100 can be substantially enclosed in acase or other enclosure. The case can include, for example, windows,apertures, flanges, footings, vents, etc. The case can also contain, forexample, a laser, the head 160, optical turning systems, cameras, thematerial bed 150, etc. To manufacture the case, or any of itsconstituent parts, an injection-molding process can be performed. Theinjection-molding process can be performed to create a rigid case in anumber of designs. The injection molding process may utilize materialswith useful properties, such as strengthening additives that enable theinjection molded case to retain its shape when heated, or absorptive orreflective elements, coated on the surface or dispersed throughout thematerial for example, that dissipate or shield the case from laserenergy. As an example, one design for the case can include a horizontalslot in the front of the case and a corresponding horizontal slot in therear of the case. These slots can allow oversized material to be passedthrough the CNC machine 100.

Optionally, there can be an interlock system that interfaces with, forexample, the openable barrier, the lid 130, door, and the like. Such aninterlock is required by many regulatory regimes under manycircumstances. The interlock can then detect a state of opening of theopenable barrier, for example, whether a lid 130 is open or closed. Insome implementations, an interlock can prevent some or all functions ofthe CNC machine 100 while an openable barrier, for example the lid 130,is in the open state (e.g. not in a closed state). The reverse can betrue as well, meaning that some functions of the CNC machine 100 can beprevented while in a closed state. There can also be interlocks inseries where, for example, the CNC machine 100 will not operate unlessboth the lid 130 and the front door are both closed. Furthermore, somecomponents of the CNC machine 100 can be tied to states of othercomponents of the CNC machine, such as not allowing the lid 130 to openwhile the laser is on, a movable component moving, a motor running,sensors detecting a certain gas, etc. In some implementations, theinterlock can prevent emission of electromagnetic energy from themovable head when detecting that the openable bather is not in theclosed position.

Converting Source Files to Motion Plans

A traditional CNC machine accepts a user drawing, acting as a sourcefile that describes the object the user wants to create or the cuts thata user wishes to make. Examples of source files are:

-   -   1) .STL files that define a three-dimensional object that can be        fabricated with a 3D printer or carved with a milling machine,    -   2) .SVG files that define a set of vector shapes that can be        used to cut or draw on material,    -   3) .JPG files that define a bitmap that can be engraved on a        surface, and    -   4) CAD files or other drawing files that can be interpreted to        describe the object or operations similarly to any of the        examples above.

FIG. 3A is a diagram illustrating one example of an SVG source file 310,consistent with some implementations of the current subject matter. FIG.3B is an example of a graphical representation 320 of the cut path 330in the CNC machine, consistent with some implementations of the currentsubject matter. FIG. 3C is a diagram illustrating the machine file 340that would result in a machine creating the cut path 330, created fromthe source file 310, consistent with some implementations of the currentsubject matter. The example source file 310 represents a work surfacethat is 640×480 units with a 300×150 unit rectangle whose top leftcorner is located 100 units to the right and 100 units down from thetop-left corner of the work surface. A computer program can then convertthe source file 310 into a machine file 340 that can be interpreted bythe CNC machine 100 to take the actions illustrated in FIG. 3B. Theconversion can take place on a local computer where the source filesreside on the CNC machine 100, etc.

The machine file 340 describes the idealized motion of the CNC machine100 to achieve the desired outcome. Take, for example, a 3D printer thatdeposits a tube-shaped string of plastic material. If the source filespecifies a rectangle then the machine file can instruct the CNC machineto move along a snakelike path that forms a filled in rectangle, whileextruding plastic. The machine file can omit some information, as well.For example, the height of the rectangle may no longer be directlypresent in the machine file; the height will be as tall as the plastictube is high. The machine file can also add some information. Forexample, the instruction to move the print head from its home positionto a corner of the rectangle to begin printing. The instructions caneven depart from the directly expressed intent of the user. A commonsetting in 3D printers, for example, causes solid shapes to be renderedas hollow in the machine file to save on material cost.

As shown by the example of FIGS. 3A-C, the conversion of the source file310 to the machine file 330 can cause the CNC machine to move thecutting tool from (0,0) (in FIG. 3B) to the point at which cutting is tobegin, activate the cutting tool (for example lower a drag knife orenergize a laser), trace the rectangle, deactivate the cutting tool, andreturn to (0,0).

Once the machine file has been created, a motion plan for the CNCmachine 100 can be generated. The motion plan contains the data thatdetermines the actions of components of the CNC machine 100 at differentpoints in time. The motion plan can be generated on the CNC machine 100itself or by another computing system. A motion plan can be a stream ofdata that describes, for example, electrical pulses that indicateexactly how motors should turn, a voltage that indicates the desiredoutput power of a laser, a pulse train that specifies the rotationalspeed of a mill bit, etc. Unlike the source files and the machine filessuch as G-code, motion plans are defined by the presence of a temporalelement, either explicit or inferred, indicating the time or time offsetat which each action should occur. This allows for one of the keyfunctions of a motion plan, coordinated motion, wherein multipleactuators coordinate to have a single, pre-planned affect.

The motion plan renders the abstract, idealized machine file as apractical series of electrical and mechanical tasks. For example, amachine file might include the instruction to “move one inch to theright at a speed of one inch per second, while maintaining a constantnumber of revolutions per second of a cutting tool.” The motion planmust take into consideration that the motors cannot accelerateinstantly, and instead must “spin up” at the start of motion and “spindown” at the end of motion. The motion plan would then specify pulses(e.g. sent to stepper motors or other apparatus for moving the head orother parts of a CNC machine) occurring slowly at first, then faster,then more slowly again near the end of the motion.

The machine file is converted to the motion plan by the motioncontroller/planner. Physically, the motion controller can be a generalor special purpose computing device, such as a high performancemicrocontroller or single board computer coupled to a Digital SignalProcessor (DSP). The job of the motion controller is to take the vectormachine code and convert it into electrical signals that will be used todrive the motors on the CNC machine 100, taking in to account the exactstate of the CNC machine 100 at that moment (e.g. “since the machine isnot yet moving, maximum torque must be applied, and the resulting changein speed will be small”) and physical limitations of the machine (e.g.accelerate to such-and-such speed, without generating forces in excessof those allowed by the machine's design). The signals can be step anddirection pulses fed to stepper motors or location signals fed toservomotors among other possibilities, which create the motion andactions of the CNC machine 100, including the operation of elements likeactuation of the head 160, moderation of heating and cooling, and otheroperations. In some implementations, a compressed file of electricalsignals can be decompressed and then directly output to the motors.These electrical signals can include binary instructions similar to 1'sand 0's to indicate the electrical power that is applied to each inputof each motor over time to effect the desired motion.

In the most common implementation, the motion plan is the only stagethat understands the detailed physics of the CNC machine 100 itself, andtranslates the idealized machine file into implementable steps. Forexample, a particular CNC machine 100 might have a heavier head, andrequire more gradual acceleration. This limitation is modeled in themotion planner and affects the motion plan. Each model of CNC machinecan require precise tuning of the motion plan based on its measuredattributes (e.g. motor torque) and observed behavior (e.g. belt skipswhen accelerating too quickly). The CNC machine 100 can also tune themotion plan on a per-machine basis to account for variations from CNCmachine to CNC machine.

The motion plan can be generated and fed to the output devices inreal-time, or nearly so. The motion plan can also be pre-computed andwritten to a file instead of streamed to a CNC machine, and then readback from the file and transmitted to the CNC machine 100 at a latertime. Transmission of instructions to the CNC machine 100, for example,portions of the machine file or motion plan, can be streamed as a wholeor in batches from the computing system storing the motion plan. Batchescan be stored and managed separately, allowing pre-computation oradditional optimization to be performed on only part of the motion plan.In some implementations, a file of electrical signals, which may becompressed to preserve space and decompressed to facilitate use, can bedirectly output to the motors. The electrical signals can include binaryinstructions similar to 1's and 0's to indicate actuation of the motor.

The motion plan can be augmented, either by precomputing in advance orupdating in real-time, with the aid of machine vision. Machine vision isa general term that describes the use of sensor data, and not onlylimited to optical data, in order to provide additional input to machineoperation. Other forms of input can include, for example, audio datafrom an on-board sound sensor such as a microphone, orposition/acceleration/vibration data from an on-board sensor such as agyroscope or accelerometer. Machine vision can be implemented by usingcameras to provide images of, for example, the CNC machine 100, thematerial being operated on by the CNC machine, the environment of theCNC machine 100 (if there is debris accumulating or smoke present), orany combination of these. These cameras can then route their output to acomputer for processing. By viewing the CNC machine 100 in operation andanalyzing the image data it can, for example, be determined if the CNCmachine 100 is working correctly, if the CNC machine 100 is performingoptimally, the current status of the CNC machine 100 or subcomponents ofthe CNC machine 100, etc. Similarly, the material can be imaged and, forexample, the operation of the CNC machine 100 can be adjusted accordingto instructions, users can be notified when the project is complete, orinformation about the material can be determined from the image data.Error conditions can be identified, such as if a foreign body has beeninadvertently left in the CNC machine 100, the material has beeninadequately secured, or the material is reacting in an unexpected wayduring machining.

Camera Systems

Cameras can be mounted inside the CNC machine 100 to acquire image dataduring operation of the CNC machine 100. Image data refers to all datagathered from a camera or image sensor, including still images, streamsof images, video, audio, metadata such as shutter speed and aperturesettings, settings or data from or pertaining to a flash or otherauxiliary information, graphic overlays of data superimposed upon theimage such as GPS coordinates, in any format, including but not limitedto raw sensor data such as a .DNG file, processed image data such as a.JPG file, and data resulting from the analysis of image data processedon the camera unit such as direction and velocity from an optical mousesensor. For example, there can be cameras mounted such that they gatherimage data from (also referred to as ‘view’ or ‘image’) an interiorportion of the CNC machine 100. The viewing can occur when the lid 130is in a closed position or in an open position or independently of theposition of the lid 130. In one implementation, one or more cameras, forexample a camera mounted to the interior surface of the lid 130 orelsewhere within the case or enclosure, can view the interior portionwhen the lid 130 to the CNC machine 100 is a closed position. Inparticular, in some preferred embodiments, the cameras can image thematerial 140 while the CNC machine 100 is closed and, for example, whilemachining the material 140. In some implementations, cameras can bemounted within the interior space and opposite the working area. Inother implementations, there can be a single camera or multiple camerasattached to the lid 130. Cameras can also be capable of motion such astranslation to a plurality of positions, rotation, and/or tilting alongone or more axes. One or more cameras mounted to a translatable support,such as a gantry 210, which can be any mechanical system that can becommanded to move (movement being understood to include rotation) thecamera or a mechanism such as a mirror that can redirect the view of thecamera, to different locations and view different regions of the CNCmachine. The head 160 is a special case of the translatable support,where the head 160 is limited by the track 220 and the translation rail170 that constrain its motion.

Lenses can be chosen for wide angle coverage, for extreme depth of fieldso that both near and far objects may be in focus, or many otherconsiderations. The cameras may be placed to additionally capture theuser so as to document the building process, or placed in a locationwhere the user can move the camera, for example on the underside of thelid 130 where opening the CNC machine 100 causes the camera to point atthe user. Here, for example, the single camera described above can takean image when the lid is not in the closed position. Such an image caninclude an object, such as a user, that is outside the CNC machine 100.Cameras can be mounted on movable locations like the head 160 or lid 130with the intention of using video or multiple still images taken whilethe camera is moving to assemble a larger image, for example scanningthe camera across the material 140 to get an image of the material 140in its totality so that the analysis of image data may span more thanone image.

As shown in FIG. 1 , a lid camera 110, or multiple lid cameras, can bemounted to the lid 130. In particular, as shown in FIG. 1 , the lidcamera 110 can be mounted to the underside of the lid 130. The lidcamera 110 can be a camera with a wide field of view 112 that can imagea first portion of the material 140. This can include a large fractionof the material 140 and the material bed or even all of the material 140and material bed 150. The lid camera 110 can also image the position ofthe head 160, if the head 160 is within the field of view of the lidcamera 110. Mounting the lid camera 110 on the underside of the lid 130allows for the user to be in view when the lid 130 is open. This can,for example, provide images of the user loading or unloading thematerial 140, or retrieving a finished project. Here, a number ofsub-images, possibly acquired at a number of different locations, can beassembled, potentially along with other data like a source file such asan SVG or digitally rendered text, to provide a final image. When thelid 130 is closed, the lid camera 110 rotates down with the lid 130 andbrings the material 140 into view.

Also as shown in FIG. 1 , a head camera 120 can be mounted to the head160. The head camera 120 can have a narrower field of view 122 and takehigher resolution images of a smaller area, of the material 140 and thematerial bed, than the lid camera 110. One use of the head camera 120can be to image the cut made in the material 140. The head camera 120can identify the location of the material 140 more precisely thanpossible with the lid camera 110.

Other locations for cameras can include, for example, on an opticalsystem guiding a laser for laser cutting, on the laser itself, inside ahousing surrounding the head 160, underneath or inside of the materialbed 150, in an air filter or associated ducting, etc. Cameras can alsobe mounted outside the CNC machine 100 to view users or view externalfeatures of the CNC machine 100.

Multiple cameras can also work in concert to provide a view of an objector material 140 from multiple locations, angles, resolutions, etc. Forexample, the lid camera 110 can identify the approximate location of afeature in the CNC machine 100. The CNC machine 100 can then instructthe head 160 to move to that location so that the head camera 120 canimage the feature in more detail.

While the examples herein are primarily drawn to a laser cutter, the useof the cameras for machine vision in this application is not limited toonly that specific type of CNC machine 100. For example, if the CNCmachine 100 were a lathe, the lid camera 110 can be mounted nearby toview the rotating material 140 and the head 160, and the head camera 120located near the cutting tool. Similarly, if the CNC machine 100 were a3D printer, the head camera 120 can be mounted on the head 160 thatdeposits material 140 for forming the desired piece.

An image recognition program can identify conditions in the interiorportion of the CNC machine 100 from the acquired image data. Theconditions that can be identified are described at length below, but caninclude positions and properties of the material 140, the positions ofcomponents of the CNC machine 100, errors in operation, etc. Based inpart on the acquired image data, instructions for the CNC machine 100can be created or updated. The instructions can, for example, act tocounteract or mitigate an undesirable condition identified from theimage data. The instructions can include changing the output of the head160. For example, for a CNC machine 100 that is a laser cutter, thelaser can be instructed to reduce or increase power or turn off. Also,the updated instructions can include different parameters for motionplan calculation, or making changes to an existing motion plan, whichcould change the motion of the head 160 or the gantry 210. For example,if the image indicates that a recent cut was offset from its desiredlocation by a certain amount, for example due to a part moving out ofalignment, the motion plan can be calculated with an equal and oppositeoffset to counteract the problem, for example for a second subsequentoperation or for all future operations. The CNC machine 100 can executethe instructions to create the motion plan or otherwise effect thechanges described above. In some implementations, the movable componentcan be the gantry 210, the head 160, or an identifiable mark on the head160. The movable component, for example the gantry 210, can have a fixedspatial relationship to the movable head. The image data can updatesoftware controlling operation of the CNC machine 100 with a position ofthe movable head and/or the movable component with their position and/orany higher order derivative thereof.

Because the type of image data required can vary, and/or because ofpossible limitations as to the field of view of any individual camera,multiple cameras can be placed throughout the CNC machine 100 to providethe needed image data. Camera choice and placement can be optimized formany use cases. Cameras closer to the material 140 can be used fordetail at the expense of a wide field of view. Multiple cameras may beplaced adjacently so that images produced by the multiple cameras can beanalyzed by the computer to achieve higher resolution or wider coveragejointly than was possible for any image individually. The manipulationand improvement of images can include, for example, stitching of imagesto create a larger image, adding images to increase brightness,differencing images to isolate changes (such as moving objects orchanging lighting), multiplying or dividing images, averaging images,rotating images, scaling images, sharpening images, and so on, in anycombination. Further, the system may record additional data to assist inthe manipulation and improvement of images, such as recordings fromambient light sensors and location of movable components. Specifically,stitching can include taking one or more sub-images from one or morecameras and combining them to form a larger image. Some portions of theimages can overlap as a result of the stitching process. Other imagesmay need to be rotated, trimmed, or otherwise manipulated to provide aconsistent and seamless larger image as a result of the stitching.Lighting artifacts such as glare, reflection, and the like, can bereduced or eliminated by any of the above methods. Also, the imageanalysis program can performing edge detection and noise reduction orelimination on the acquired images. Edge detection can includeperforming contrast comparisons of different parts of the image todetect edges and identify objects or features in the image. Noisereduction can involve averaging or smoothing of one or more images toreduce the contribution of periodic, random, or pseudo-random imagenoise, for example that due to CNC machine 100 operation such asvibrating fans, motors, etc.

FIG. 4A is a diagram illustrating the addition of images, consistentwith some implementations of the current subject matter. Images taken bythe cameras can be added, for example, to increase the brightness of animage. In the example of FIG. 4A, there is a first image 410, a secondimage 412, and a third image 414. First image 410 has horizontal bands(shown in white against a black background in the figure). Thehorizontal bands can conform to a more brightly lit object, though themain point is that there is a difference between the bands and thebackground. Second image 412 has similar horizontal bands, but offset inthe vertical direction relative to those in the first image 410. Whenthe first image 410 and second image 412 are added, their sum is shownin by the third image 414. Here, the two sets of bands interleave tofill in the bright square as shown. This technique can be applied to,for example, acquiring many image frames from the cameras, possibly inlow light conditions, and adding them together to form a brighter image.

FIG. 4B is a diagram illustrating the subtraction of images, consistentwith some implementations of the current subject matter. Imagesubtraction can be useful to, for example, isolate dim laser spot from acomparatively bright image. Here, a first image 420 shows two spots, onerepresentative of a laser spot and the other of an object. To isolatethe laser spot, a second image 422 can be taken with the laser off,leaving only the object. Then, the second image 422 can be subtractedfrom the first image 420 to arrive at the third image 424. The remainingspot in the third image 424 is the laser spot.

FIG. 4C is a diagram illustrating the differencing of images to isolatea simulated internal lighting effect, consistent with someimplementations of the current subject matter. There can be an object inthe CNC machine 100, represented as a circle in first image 430. Thiscould represent, for example an object on the material bed 150 of theCNC machine 100. If, for example, half of the material bed 150 of theCNC machine 100 was illumined by outside lighting, such as a sunbeam,the second image 420 might appear as shown, with the illuminated sidebrighter than the side without the illumination. It can sometimes beadvantageous to use internal lighting during operation, for example toilluminate a watermark, aid in image diagnostics, or simply to bettershow a user what is happening in the CNC machine. Even if none of thesereasons apply, however, internal lighting allows reduction orelimination of the external lighting (in this case the sunbeam) via thismethod. This internal lighting is represented in the third image 434 byadding a brightness layer to the entire second image 432. To isolate theeffect of the internal lighting, the second image 432 can be subtractedfrom 434 to result in fourth image 436. Here, fourth image 436 shows thearea, and the object, as it would appear under only internal lighting.This differencing can allow image analysis to be performed as if onlythe controlled internal lighting were present, even in the presence ofexternal lighting contaminants.

Machine vision processing of images can occur at, for example, the CNCmachine 100, on a locally connected computer, or on a remote serverconnected via the internet. In some implementations, image processingcapability can be performed by the CNC machine 100, but with limitedspeed. One example of this can be where the onboard processor is slowand can run only simple algorithms in real-time, but which can run morecomplex analysis given more time. In such a case, the CNC machine 100could pause for the analysis to be complete, or alternatively, executethe data on a faster connected computing system. A specific example canbe where sophisticated recognition is performed remotely, for example,by a server on the internet. In these cases, limited image processingcan be done locally, with more detailed image processing and analysisbeing done remotely. For example, the camera can use a simple algorithm,run on a processor in the CNC machine 100, to determine when the lid 130is closed. Once the CNC machine 100 detects that the lid 130 is closed,the processor on the CNC machine 100 can send images to a remote serverfor more detailed processing, for example, to identify the location ofthe material 140 that was inserted. The system can also devote dedicatedresources to analyzing the images locally, pause other actions, ordiverting computing resources away from other activities.

In another implementation, the head 160 can be tracked by onboard,real-time analysis. For example, tracking the position of the head 160,a task normally performed by optical encoders or other specializedhardware, can be done with high resolution, low resolution, or acombination of both high and low resolution images taken by the cameras.As high-resolution images are captured, they can be transformed intolower resolution images that are smaller in memory size by resizing orcropping. If the images include video or a sequence of still images,some may be eliminated or cropped. A data processor can analyze thesmaller images repeatedly, several times a second for example, to detectany gross misalignment. If a misalignment is detected, the dataprocessor can halt all operation of the CNC machine 100 while moredetailed processing more precisely locates exactly the head 160 usinghigher resolution images. Upon location of the head 160, the head 160can be adjusted to recover the correction location. Alternatively,images can be uploaded to a server where further processing can beperformed. The location can be determined by, for example, looking atthe head 160 with the lid camera, by looking at what the head camera 120is currently imaging, etc. For example, the head 160 could be instructedto move to a registration mark. Then the head camera 120 can then imagethe registration mark to detect any minute misalignment.

Basic Camera Functionality

The cameras can be, for example, a single wide-angle camera, multiplecameras, a moving camera where the images are digitally combined, etc.The cameras used to image a large region of the interior of the CNCmachine 100 can be distinct from other cameras that image a morelocalized area. The head camera 160 can be one example of a camera that,in some implementations, images a smaller area than the wide-anglecameras.

There are other camera configurations that can be used for differentpurposes. A camera (or cameras) with broad field of view can cover thewhole of the machine interior, or a predefined significant portionthereof. For example, the image data acquired from one or more of thecameras can include most (meaning over 50%) of the working area. Inother embodiments, at least 60%, 70%, 80%, 90%, or 100% of the workingarea can be included in the image data. The above amounts do not takeinto account obstruction by the material 140 or any other interveningobjects. For example, if a camera is capable of viewing 90% of theworking area without material 140, and a piece of material 140 is placedin the working area, partially obscuring it, the camera is stillconsidered to be providing image data that includes 90% of the workingarea. In some implementations, the image data can be acquired when theinterlock is not preventing the emission of electromagnetic energy.

In other implementations, a camera mounted outside the machine can seeusers and/or material 140 entering or exiting the CNC machine 100,record the use of the CNC machine 100 for sharing or analysis, or detectsafety problems such as an uncontrolled fire. Other cameras can providea more precise look with limited field of view. Optical sensors likethose used on optical mice can provide very low resolution and fewcolors, or greyscale, over a very small area with very high pixeldensity, then quickly process the information to detect material 140moving relative to the optical sensor. The lower resolution and colordepth, plus specialized computing power, allow very quick and preciseoperation. Conversely, if the head is static and the material is moved,for example if the user bumps it, this approach can see the movement ofthe material and characterize it very precisely so that additionaloperations on the material continue where the previous operations leftoff, for example resuming a cut that was interrupted before the materialwas moved.

Video cameras can detect changes over time, for example comparing framesto determine the rate at which the camera is moving. Still cameras canbe used to capture higher resolution images that can provide greaterdetail. Yet another type of optical scanning can be to implement alinear optical sensor, such as a flatbed scanner, on an existing rail,like the sliding gantry 210 in a laser system, and then scan it over thematerial 140, assembling an image as it scans.

To isolate the light from the laser, the laser may be turned off and onagain, and the difference between the two measurements indicates thelight scattered from the laser while removing the effect ofenvironmental light. The cameras can have fixed or adjustablesensitivity, allowing them to operate in dim or bright conditions. Therecan be any combination of cameras that are sensitive to differentwavelengths. Some cameras, for example, can be sensitive to wavelengthscorresponding to a cutting laser, a range-finding laser, a scanninglaser, etc. Other cameras can be sensitive to wavelengths thatspecifically fall outside the wavelength of one or more lasers used inthe CNC machine 100. The cameras can be sensitive to visible light only,or can have extended sensitivity into infrared or ultraviolet, forexample to view invisible barcodes marked on the surface, discriminatebetween otherwise identical materials based on IR reflectivity, or viewinvisible (e.g. infrared) laser beams directly. The cameras can even bea single photodiode that measures e.g. the flash of the laser strikingthe material 140, or which reacts to light emissions that appear tocorrelate with an uncontrolled fire. The cameras can be used to image,for example, a beam spot on a mirror, light escaping an intended beampath, etc. The cameras can also detect scattered light, for example if auser is attempting to cut a reflective material. Other types of camerascan be implemented, for example, instead of detecting light of the samewavelength of the laser, instead detecting a secondary effect, such asinfrared radiation (with a thermographic camera) or x-rays given off bycontact between the laser and another material.

The cameras may be coordinated with lighting sources in the CNC machine100. The lighting sources can be positioned anywhere in the CNC machine100, for example, on the interior surface of the lid 130, the walls, thefloor, the gantry 210, etc. One example of coordination between thelighting sources and the cameras can be to adjust internal LEDillumination while acquiring images of the interior portion with thecameras. For example, if the camera is only capable of capturing imagesin black and white, the internal LEDs can illuminate sequentially inred, green, and blue, capturing three separate images. The resultingimages can then be combined to create a full color RGB image. Ifexternal illumination is causing problems with shadows or externallighting effects, the internal lighting can be turned off while apicture is taken, then turned on while a second picture is taken. Bysubtracting the two on a pixel-by-pixel basis, ambient light can becanceled out so that it can be determined what the image looks like whenilluminated only by internal lights. If lighting is movable, for exampleon the translation arm of the CNC machine 100, it can be moved aroundwhile multiple pictures are taken, then combined, to achieve an imagewith more even lighting. The brightness of the internal lights can alsobe varied like the flash in a traditional camera to assist withillumination. The lighting can be moved to a location where it betterilluminates an area of interest, for example so it shines straight downa slot formed by a cut, so a camera can see the bottom of the cut. Ifthe internal lighting is interfering, it can be turned off while thecamera takes an image. Optionally, the lighting can be turned off forsuch a brief period that the viewer does not notice (e.g. for less thana second, less than 1/60^(th) of a second, or less than 1/120^(th) of asecond). Conversely, the internal lighting may be momentarily brightenedlike a camera flash to capture a picture. Specialized lights may be usedand/or engaged only when needed; for example, an invisible butUV-fluorescent ink might be present on the material. When scanning for abarcode, UV illumination might be briefly flashed while a picture iscaptured so that any ink present would be illuminated. The sametechnique of altering the lighting conditions can be performed bytoggling the range-finding and/or cutting lasers as well, to isolatetheir signature and/or effects when imaging. If the object (or camera)moves between acquisitions, then the images can be cropped, translated,expanded, rotated, and so on, to obtain images that share commonfeatures in order to allow subtraction. This differencing technique ispreferably done with automatic adjustments in the cameras are overriddenor disabled. For example, disabling autofocus, flashes, etc. Featuresthat can ideally be held constant between images can include, forexample, aperture, shutter speed, white balance, etc. In this way, thechanges in the two images are due only to differences from the lightingand not due to adjustment in the optical system.

Multiple cameras, or a single camera moved to different locations in theCNC machine 100, can provide images from different angles to generate 3Drepresentations of the surface of the material 140 or an object. The 3Drepresentations can be used for generating 3D models, for measuring thedepth that an engraving or laser operation produced, or providingfeedback to the CNC machine 100 or a user during the manufacturingprocess. It can also be used for scanning, to build a model of thematerial 140 for replication.

The camera can be used to record photos and video that the user can useto share their progress. Automatic “making of” sequences can be createdthat stitch together various still and video images along withadditional sound and imagery, for example the digital rendering of thesource file or the user's picture from a social network. Knowledge ofthe motion plan, or even the control of the cameras via the motion plandirectly, can enable a variety of optimizations. In one example, given amachine with two cameras, one of which is mounted in the head and one ofwhich is mounted in the lid, the final video can be created with footagefrom the head camera at any time that the gantry is directed to alocation that is known to obscure the lid camera. In another example,the cameras can be instructed to reduce their aperture size, reducingthe amount of light let in, when the machine's internal lights areactivated. In another example, if the machine is a laser cutter/engraverand activating the laser causes a camera located in the head to becomeoverloaded and useless, footage from that camera may be discarded whenit is unavailable. In another example, elements of the motion plan maybe coordinated with the camera recording for optimal visual or audioeffect, for example fading up the interior lights before the cut ordriving the motors in a coordinated fashion to sweep the head cameraacross the material for a final view of the work result. In anotherexample, sensor data collected by the system might be used to selectcamera images; for example, a still photo of the user might be capturedfrom a camera mounted in the lid when an accelerometer, gyroscope, orother sensor in the lid detects that the lid has been opened and it hasreached the optimal angle. In another example, recording of video mightcease if an error condition is detected, such as the lid being openedunexpectedly during a machining operation. The video can beautomatically edited using information like the total duration of thecut file to eliminate or speed up monotonous events; for example, if thelaser must make 400 holes, then that section of the cut plan could beshown at high speed. Traditionally, these decisions must all be made byreviewing the final footage, with little or no a priori knowledge ofwhat they contain. Pre-selecting the footage (and even coordinating itscapture) can allow higher quality video and much less time spent editingit. Video and images from the production process can be automaticallystitched together in a variety of fashions, including stop motion withimages, interleaving video with stills, and combining video andphotography with computer-generated imagery, e.g. a 3D or 2D model ofthe item being rendered. Video can also be enhanced with media fromother sources, such as pictures taken with the user's camera of thefinal product.

Additional features that can be included individually, or in anycombination, are described in the sections below.

Before describing specific methods of detecting anomalies in the CNCmachine, several types of sensors that can be placed in or used by theCNC machine, for detecting anomalies, will be described.

Airflow Sensors

CNC machines can incorporate, for example, air exchangers, filtrationsystems, fans, etc. Airflow sensors can be used to monitor the operationof any air moving components in the CNC machine 100. Airflow sensors caninclude a combination of propellers, pressure sensors, etc. Moreindirect types of airflow sensors can be smoke detectors or other gassensors, particle counters, and cameras that can inspect air particleflow. The airflow sensors can be coupled to the fans, ducts, in theworking area of the CNC machine 100 (such as on a wall or the outside ofa component), etc. The airflow sensors can monitor, for example, the airvelocity at the point of measurement, compute the rate of exchange ofthe air volume in the CNC machine 100, etc. If the air flow is outside apermissible range based on the type of material being machined, themotion plan, the method of machining, or the like, then the CNC machine100 can alert a user or alter operation of one or more components tocorrect the problem.

Connectivity Sensors

Some features of the CNC machine 100 can require connection to theinternet or to another computing system. The connection can be wired,for example, a Local-Area-Network (LAN), Ethernet, or fiber optic. Theconnection can also be wireless, for example, a WirelessLocal-Area-Network (WLAN), low-energy wireless, etc. If any requiredconnections are broken or operating at insufficient speeds, themachining process could be slowed, malfunction, or cease altogether. Forexample, if a CNC machine 100 is receiving instructions from a remotesource and the connection becomes slow, the machine could become stuckon a step or between steps, causing damage to the CNC machine 100 or tothe material 140 being processed. By monitoring the connectivitysensors, for example by polling connection speed or integrityperiodically, anomalies can be avoided. The response of the CNC machine100 can depend on predetermined instructions depending on the type ofproblem encountered, and on the desired actions of the CNC machine 100.

In one implementation, the CNC machine 100 can slow or buffer operationsin response to detecting a slowdown in a connection.

In another implementation, in response to a connection failure, the CNCmachine 100 can execute local instructions causing the CNC machine 100to enter a safe mode, or execute a controlled shutdown. In response toany detected change in connectivity, the CNC machine 100 can update themotion plan or alert a user. In one example, a rapidly rotating steppermotor can be decelerated at a pace that does not cause it to lose trackof its current step, which would occur if the motor were abruptlystopped.

In another implementation, the motion plan can be calculated inportions, which each portion fitting into the memory of the CNC machine100, with each portion concluding with the machine entering a ‘paused’state (head at zero velocity) or a ‘safe’ state (a machining operationwhere the material is not being affected, such as a movement from onepoint to another with the laser disabled, which, if interrupted, can beto reconstructed). If the network connection is interrupted and the nextportion of the motion plan is delayed, the current state of the machineis known, the machine can remain in the ‘paused’ state indefinitely (orsafely cease machining operations if in a ‘safe’ state) while waitingfor further portions to arrive. If and when motion is resumed, inresponse to receiving more portions of the motion plan, there will beminimal or no discontinuity or other error visible in the finaloperation. By comparison, for other systems lacking this feature, if acutting operation was interrupted abruptly (e.g. the laser suddenlyswitched off in the middle of a cut), it could be difficult orimpossible to resume the operation in exactly the same manner so as tomake the interruption undetectable in the final product.

Coolant Monitors

Some components of a CNC machine 100 can require cooling. For example, alaser cutter can require cooling of the laser, a lathe can requirecooling of a drive motor, a 3-D printer can require cooling ofextruders, etc. Cooling systems can be fans thermal control systems,fluid-based heat exchangers, a coolant pump, a radiators, etc. Coolantmonitors that can be incorporated can include flow meters, temperaturemonitors, filter diagnostics (to check for a dirty or depleted filter),etc. Data from the coolant monitors can be incorporated into aninterlock system or part of a “warm up” phase for the CNC machine 100.For example, in one implementation, the CNC machine 100 will not performactual machining unless the cooling system has run for a specifiedlength of time or the cooling medium is a certain temperature. Coolanttemperature can also indicate problems in, for example, the laser tube,the power supply, a fire in the unit, ambient temperatures above theoperating envelope, etc.

An air filter can be incorporated into the CNC machine to filter airused for cooling the CNC machine.

Current Sensors

Electrical current through one or more current-carrying paths, such aswires, bus bars, switches, or the like, can be monitored to confirm thatthey are operating normally. Current sensors can include shuntresistors, induction coils, Hall probes, Rogowski coils, fiber-opticcurrent sensors, etc. If the measured current is outside of permissiblebounds, an alert can be provided. In one implementation, current sensorscan be connected to motors or other drive components. If an overcurrentcondition is detected, defined as current in excess of the motor'smaximum rating, the motor or component can be, for example, shut down,slowed down, or an alert to a user can be sent. In anotherimplementation, the forecasted current draw may be calculated, andvariations from that amount are considered an anomaly; even if thecurrent draw is within the motor's maximum rating. For example, if themotor current is higher than forecasted, the motor may be damaged,blocked, or in need of lubrication. In another example, if the motorcurrent is lower than forecasted, the motor may have a broken belt orgear so that no load is present. Also, the location of the currentsensor can be combined with other sensor data to further isolate theproblem. For example, if a the current sensor in a fan detects anabnormally high current, but an airflow sensor is reporting normaloperation, then the system can report that the fan is drawing morecurrent to compensate for an increased friction in the fan. Similarly, acurrent spike in a given electrical component can indicate the presenceof a short. Current waveforms can also be analyzed to determine thepresence of stray capacitance, resistive heating of components, etc.

To identify the component responsible for the current anomaly, somecomponents can be turned off in a predefined sequence to isolate theproblem. For example, the last component turned off before the currentsensor readings returned to normal can be inferred to be the source ofthe anomaly. This determination can then be communicated to a user, forexample by a computer interface.

Microphones

CNC machines often make characteristic sounds depending on their mode ofoperation, the material being machined, etc. Microphones positionedeither on the inside or outside of the CNC machine 100, or specificallydirected at a particular component or location, can be used to monitorsounds. In some implementations, the microphones can monitor for regularsounds, such as a motor running, a fan turning, etc. If the sound is notheard, this can indicate a possible component failure. In otherimplementations, if a sound is detected, but does not agree with anexpected audio waveform, this can also indicate a possible componentfailure or anomalous condition. In one implementation, there can be amicrophone proximate to a stepper motor that can listen for skips in thestepper motor. Such a skip can be determined by comparing the observedaudio waveform with a waveform captured during normal operation, bycomparing the waveform with a waveform captured during a skip, or bycomparing the waveform with a forecasted waveform created by a computerbased on the expected behavior of the motor. In another implementation,the microphones can listen for a turning of a drill bit. If the drillbit gets stuck, then there can be no sound coming from the drillingarea, but there may be unusual sounds coming from the drive motor.

Software or hardware based signal augmenters such as high and low passfilters may be used to isolate stimuli of interest and nullify theeffects of the ambient noise generated by the CNC machine operation orthat of the environment the CNC machine 100 is placed within. In thiscase, the microphone can record during an instance of no operation priorto recording during an active cut. Then, when a cut is actually inprogress, data collected from the microphone can have frequenciesderived from the ambient recording filtered out in order to provide amore useful and accurate source of information.

To distinguish between sounds coming from outside the CNC machine 100and sounds from inside the CNC machine 100, there can be microphonesplaced internally and externally to allow differencing of the recordedsounds. If the sound on an interior microphone is louder than the soundon an exterior microphone, it can be inferred that the sound originatedinside the CNC machine 100, and vice versa. However, the audio analysisprogram making this determination can also take into account, forexample, known or expected distortion of sounds through one or moreintervening bathers or objects, the type of sound (such as identifying aknown drilling or cutting sound), etc.

Photodiodes

Some conditions present in the CNC machine 100 can be well-suited to amore limited or dedicated type of optical analysis than that provided bythe camera systems. Photodiodes can provide an inexpensive way ofdetecting a light signature that can be representative of a condition oranomaly in the CNC machine 100. Photodiodes also tend to be physicallysmall in size, and can therefore be easier to locate inside compactcomponents. Photodiodes can be combined with optical filters to detect anarrower wavelength of light. For example, if UV light is used in theCNC machine 100 for curing UV-sensitive resins or illumination ofwatermarks printed in UV-sensitive ink on the material, a filter can beplaced on the photodiode to avoid saturation by the UV light source orto selectively filter for the UV light, depending on the use of thephotodiode. Similarly, a photodiode can be selected or filtered todetect a wavelength of light that is associated with an anomalouscondition, such as a fire, sparks, etc. The photodiodes can be directedat the interior of the CNC machine 100 as a whole, or at a specificlocation, such as an optical component like a lens, a mirror, thesurface of a material where it is being cut by a laser, etc. Infraredthermometers, passive infrared sensors, pyrometers, or otherthermally-sensitive sensors can be used to detect the presence of fireor unusual amounts of heat from, for example, a cut location on thematerial, a cutting tool, a component that may overheat, etc., withoutthe need for direct contact with a heated area as required by atemperature sensor like a thermistor. In other implementations, afraction of a laser beam in a CNC machine 100 can be directed to aphotodiode, infrared thermometer, beam dump, etc. Here, a beam dump canbe any kind of heat, light, or particle absorbing medium that is placedin the CNC machine to absorb or attenuate the laser beam. By measuringthe output of the photodiode, a current or temperature of a beam dump,reading from the infrared thermometer, or the like, the power of thelaser beam can be monitored. In some implementations, photodiodes orother optical sensors can be adjusted to point to a particular locationin the CNC machine 100 for specific analysis of that location.

In one implementation of a CNC machine 100 in which a lid camera 110 ispositioned to take images of the full material bed 150, a photodiode canmonitor the ambient light within the machine in order to account forexternal factors that may otherwise limit its utility. Detection oflight entering the device, for instance, can be used to adjust thebrightness and white balance of the images taken or the brightness ofLEDs that shine into the material bed in order to ensure consistency ofdata collected in the face of varied external stimuli.

In a similar implementation of a CNC machine 100 with closed walls and asingle point of insertion of new materials by a user, photodiodes can beused in order to detect certain binary inputs and halt device operationif necessary. A sudden change in light entering the device unanticipatedby an active motion plan, for instance, may be indicative of the lid ofthe device being opened and thus be cause for halting an activity ortriggering a controlled shutdown.

Infrared Sensors

In some implementations of the CNC machine 100, for example where theCNC machine 100 is a laser cutter, the alignment and/or presence of thelaser can be determined by monitoring the beam. This is particularlychallenging for CO2 lasers, which emit light in the far infrared, whereit is not visible with most commonly available cameras or photodiodes.Infrared (IR) thermometers and similar solid-state infrared detectingsensors can be used to monitor laser beams with primary wavelengths inthe wavelength range of the IR sensor. For low power beams, the IRsensor (hereafter referring to any sensor sensitive to the laserwavelength or secondary effects) can detect the beam directly. Forhigher power beams, a fraction of the beam's power may be split off andredirected at the IR sensor. Alternately, light scattered from the beamcolliding with other elements such as mirrors or lenses, or stray,lower-power light around the perimeter of the main beam, may bedetected. When the laser is on, the IR sensor can detect incomingphotons from the laser, or heat emitted from objects struck by the laserbeam. Alternately, heat emitted from objects struck by the laser beammay be measured by more conventional temperature sensors, such asthermistors. The IR sensor therefore can function as a way to verify thebeam's state, or the power of the laser. If the power is too low or toohigh, then the power to the laser can, for example, be adjusted tocompensate or a user can be alerted.

In one implementation, there can be a single IR sensor located proximateto the beam. In another implementation, the single IR sensor is locatedaway from the beam, where laser emissions may be directed towards it. Inanother implementation, there can be multiple IR sensors, for example,three arranged symmetrically around the laser beam, which can verifylaser alignment. If the IR sensor readings are identical, the lightreceived by the IR sensors should be equivalent, and the beam can beconsidered to be in the correct location. Optionally, a calibrationfactor can be applied to each IR sensor to account for the response ofthe individual IR sensors or variation in beam intensity across itscross-section, etc. The IR sensors can be located at any point along thebeam path. In one implementation, the IR sensors can be located in thehead to confirm that the laser beam is entering the head at the properlocation.

The output of the IR sensor can be compared with other IR sensors todetermine a number of anomalous conditions. First, the laser power,assuming a short beam path with little divergence, should be nearlyconstant. By measuring the beam power at different locations, forexample, at the source, inside a turning system, at the head, or thelike, localized anomalies can be detected. For example, it can bedetected if the beam becomes mis-aligned, attenuated, blocked, etc., andthe location of the anomaly may be deduced by determining which sensordetected the reading. Also, the output of the IR sensor can be comparedwith the execution plan, the motion plan, and/or other sensorsmonitoring the CNC machine 100 output. For example, if the IR sensor wasdetecting that the laser was on, but no beam was emerging from the head160, then it can be determined that a misalignment or obstruction waspresent.

In one example, an IR sensor can be located within the head, and itsoutput signal can be used to measure the amount of laser power beingdelivered to the head. As a precaution to ensure that the laser isoperating correctly, the laser can be turned on (and optionally turnedoff again immediately) while the power at the head is measured. If theIR sensor registers that the intended beam power is delivered to thehead, then the laser can be operated normally and safely. If the IRsensor registers that the laser power is lower than expected, or nolaser power is detected, the laser is disabled immediately. The anomalycould result from, for example, a mis-aligned mirror, a block in thebeam path, a critical component removed from the system, or a laser tubefailure. This is a particularly important failure mode to detect becauseif the beam is reflected so that it does not enter the head as designed,it could be hazardous. In another example, and IR sensor may detect aderivative of the laser power being delivered to the head, the heatgenerated by laser power delivered to the head, or some othermeasurement indicative of the power and location of the beam.

Position Sensors

Position or motion sensors, such as accelerometers, gyroscopes, linearencoder, shaft encoder, or any other sensor that measures the zeroth,first, second, or higher order derivative of position or angle) canmonitor the position, motion and/or behavior of components of the CNCmachine 100. Position and/or motion sensors can be located on, forexample, the head 160, lid 130, gantry 210, the outer housing, controlboards, etc. The motion sensors, such as accelerometers, can measure themotion of the component to which they are attached. Position sensorreadings can be used singly or combined to detect anomalies. Location orrotation sensors, such as rotary or linear encoders that report amotor's position, may be used for the same purpose by taking thederivative of their location over time.

Position and/or motion sensors can be used to detect circumstances thatare outside of normal or allowable operating parameters, for example anacceleration that would bend the frame of the machine. The measuredsensor data can also be compared with a library of known-problematicsensor readings to detect anomalies; or may be compared with a forecastto detect deviations from the expected behavior. Deviations from themotion plan can indicate mis-alignment of the component. As one example,if the head 160 is ordered to move along the X dimension and someacceleration is detected along the Y dimension, it can be concluded thatthe gantry 210 is not parallel to the X axis. If a discrepancy isdetected, the operations can be halted and an alert sent to the user toverify the position of the head 160. Alternatively, there can be anautomatic recalibration in response to a detected discrepancy, forexample using the motors that drive the gantry to straighten it. Inother implementations, the motion plan can be calculated or recalculatedto take this deviation into account, adding a small amount of Y-axismovement to offset the Y-axis drift that was observed. The data from anyof the position sensors can be compared to a position sensor locatedelsewhere on the CNC machine 100 to provide a relative change inposition. This can provide additional information to isolate which partsof the machine experienced the anomaly.

In one implementation, the acceleration of a moving portion of themachine 100 such as the head 160 and the acceleration of the housing canbe analyzed to determine if the head 160 has become mis-aligned. Ananalysis program can use the position sensor data to determine if thedistance and/or relative position of the position sensors is consistentwith the motion plan or other desired configuration.

Multiple position and/or motion sensors used in tandem can be used totrack the overall displacement of the CNC machine 100 itself. Forexample, if two sensors on opposing sides of the device both registersimilar changes in position over a short period of time, it is likelythat the device itself is actively moving. This can be the result ofrapid movements of mechanized interior components of some mass (forinstance the head 160 or gantry 210) or an unexpected change in exteriorsupport (such as the moving of some piece of furniture upon which themachine is placed). In these situations, feedback may be provided to theuser in order to determine an appropriate corrective course of action.

In another implementation, an unexpected acceleration detected on thehead 160 can be compared with the accelerations measured on the outerhousing to see if the acceleration was local to the head 160, forexample a collision with a tool left on the machine bed, or was externaland felt by both sensors, for example a person bumping the CNC machine100. One particularly useful function of the position sensors can be toreplace limit switches which are typically used to alert the machinewhen the head 160 is attempting to move outside its design parameters.This can be both an alert, to trigger an error state, or a calibrationtechnique, where the CNC machine 100 moves the head 160 until it reachesits outer limit, indicating that it is at a known location. This can bereplaced by position sensors by simply running the head 160 until itcontacts its limits of travel, which are detected via accelerationmeasured via the position sensors instead of physical switches.

In one implementation, a motion plan can be generated that deliberatelyinstructs the head 160 to move indefinitely in a direction. The motionof the head 160 is reduced or stopped as it reaches the end of itstravel, for example by colliding with a bumper or with the wall of themachine. A position sensor such as an accelerometer is used to detectwhen this occurs, and the calibration routine notes that, at thislocation, the head is at its far limit of travel. This is normallyaccomplished with a switch (a ‘limit switch’) that must be actuated byphysical contact; a common cause of damage to CNC machines is switchfailure, causing motors to turn indefinitely, damaging the system.

In another implementation, the acceleration of the head is continuouslymonitored, and if the accelerometers produce a signal that matches thesignature of a collision, actions are taken to respond to the anomaly(for example removing power from the motors).

Position sensors in lid 130, door, access hatch, flap, or other movingcomponent that allows access to a portion of the laser can detect thelid 130 opening or closing, the position of the lid 130, whether the lidis open or closed based on the position or angle of the lid 130, therate at which the lid 130 is being opened or closed, etc. Positionsensor data can be integrated with normal use, for example to act as asafety precaution to prevent operation when the lid 130 is open.Position sensors can also determine whether a lid is sufficientlystationary for of recording of images by the lid camera 110, or whetherthe lid 130 is sufficiently opened for a clear picture to be taken ofthe user. The detection of the lid 130 being open can also initiate acontrolled shutdown as described below. Lid actuation can be detected bya position sensor not positioned on the lid, for example by detectingvibrations or motion characteristic of the lid 130 closing.

Position sensors can be mechanically connected to, for example, acontrol board, a printed-circuit board, a motherboard, an individualprocessor or computer chip, cabling, etc. The position sensors candetect conditions such a shaking, jolts, or other impacts, that can beeither abnormal for expected machine operation, or exceed tolerances ofthe connected components. In some implementations, the CNC machine 100can slow or alter execution of the motion plan until the measuredaccelerations are within tolerance. While excessive acceleration may notcause an obvious failure, accelerometer data acquired in this way can beused to provide an alert to a user that the component could possiblyhave sustained damage. The position sensors can run during, for example,execution of the motion plan, whenever the CNC machine 100 is powered,or continuously in a low-power mode to log acceleration data even whenthe CNC machine 100 is otherwise not operating. The low-power mode canbe used to identify motion patterns that can indicate that the CNCmachine 100 may have sustained damage during transport.

Position sensors can be used to track the overall displacement of acomponent by measuring a number of small deviations over a period oftime and combining them. For example, by integrating the measuredacceleration of a component over time, a position and velocity profilecan be determined. The measured profiles can be compared to allowedprofiles, and when a difference between the two exceeds a certain value,a correction to the motion of the component can be made or a user can bealerted. In some implementations, this integrated measurement with theposition sensors can replace or augment an encoder used with a motor,for example, a motor used with the head 160 or the gantry 210.

Pressure Sensors

Pressure sensors can be used to determine the air pressure in the CNCmachine 100. Examples of pressure sensors can include capacitivepressure sensing, or if the CNC machine 100 is under vacuum, ion gauges,etc. In some implementations, measurements of the pressure inside theCNC machine 100 can be used to confirm the presence of a positivepressure region. For example, a positive pressure region, relative tothe outside environment, can be maintained to reduce contaminantsentering the CNC machine 100. Conversely, a negative pressure can bemaintained in the CNC machine 100 to reduce smoke or other harmfulgasses from escaping. This can be used on concert with an air filter orexhaust system to safely remove any smoke or hazardous fumes. Acombination of pressure regions can be established and monitored duringoperation of the CNC machine 100. For example, the pressure in the headcan be maintained, with an air line, fan, or the like, to maintain apositive pressure so debris or smoke does not coat or cloud any exposedoptics. However, the overall pressure of the CNC machine 100 can benegative relative to the outside, for the reasons discussed above.Changes in pressure can be used to detect anomalies, such as a breach ofthe walls of the case, for example someone opening an access panel.Changes in pressure can also be used to detect intended behaviors, forexample in the case of a CNC machine with an opening through whichmaterials may be inserted, a change in pressure may indicate that apiece of material has been inserted into the opening, restricting theairflow.

Smoke Sensors

Smoke including combustion products and airborne particulates are anatural consequence of many machining operations. Material, when cut,engraved, turned, or the like, gets hot and there can be burning orscoring around the area worked. By detecting the amount, composition, orthe like, of the smoke, some anomalous events can be determined. Forexample, in one implementation, a smoke detector can determine thatthere is too much smoke, suggesting the presence of an uncontrolledfire. In another example, the machine can determine that the fans needmore power to offset a smoke-producing operation, or can be run morequietly because no smoke is being produced. Similarly, detecting anamount or type of smoke that is not necessarily due to a hazardouscondition, but still not in agreement with that expected by the motionplan, can indicate, for example, that an incorrect material is present,contaminants are present on the material such as oil or paint, or thatthere is a malfunction in the CNC machine 100, such as too much laserpower. If the smoke detector is capable of measuring the particulatesize and/or composition, then the type of material producing the smokecan be determined. Smoke levels can be conveyed to the user, for examplenotifying the user that the air has cleared and the machine can beopened, or that an air filter has failed.

Thermal Sensors

Thermal sensors (thermometers) can be incorporated throughout the CNCmachine 100 to measure the temperature of components in contact with theactive sensing area of the thermometer. The measured temperature canindicate anomalous conditions such as incorrect set points, overheating,fire, etc. Thermometers can be connected to optical components such asmirrors or lenses. They can also be connected to electrical componentssuch as control boards, the laser, motors, cooling systems, ventilationsystems, heaters, etc. Because some CPU's will fail above a certaintemperature, the temperature of the CPU's can be closely monitored.Temperature readouts can be incorporated by the CNC machine 100 to alteroperation in response to a temperature outside of a permissibleoperating range. As one example, if a motion plan is making somecomponents of the CNC machine 100 run hot, then the execution of themotion plan can be slowed to allow the components to operate a lowertemperature. In another example, if a CPU is reading a temperaturehigher than forecast, it may be a sign of a different anomaly, forexample a bug that is causing additional unwanted program operations,causing the chip to heat more than expected.

A thermometer can monitor the ambient temperature within the machine inorder to account for external factors that may otherwise limit itsutility. In a similar implementation of a CNC machine 100 with closedwalls and a single point of insertion of new materials by a user,thermometers can be used in order to detect certain binary inputs andhalt device operation if necessary. A sudden change in temperature inthe device unanticipated by an active motion plan, for instance, may beindicative of a fan stopping and thus be cause for halting an activityor triggering a controlled shutdown.

Anomaly Detection—General

Anomaly detection, as used herein, can refer to any kind of unexpectedor impermissible condition or operation in the CNC machine 100. Examplesof anomalies can include fire, smoke, a laser mis-firing or failing tofire, unusual noises, a motor failing to move, a component failing oroverheating, etc. Sensors can be used to detect anomalies, and in sodoing may in some cases anticipate further anomalies. For example, amicrophone detecting an unexpected sound from a fan can anticipate orprevent another anomalous event, such as the fan failing. Based on thereceived sensor data, the CNC machine 100 can change operation accordingto predetermined instruction or alert a user.

Permissible ranges for sensor data to indicate the presence of ananomaly can be adjusted based on the motion plan, the type of CNCmachine 100, the material, etc. For example, it can be normal for sometypes of materials to produce more smoke when they are cut as comparedto others. By adjusting the permissible ranges, the conditions forresponding to an anomaly can more accurately correspond to theoccurrence (or not) of an actual anomaly.

As used herein, “detection” or “monitoring” of conditions by aparticular type of sensor is understood to include not just the digitalor analog signals or data from the sensor, but also interpretation ofthe sensor data by one or more computer processors.

Anomaly Detection by Comparison with Forecast

In some cases, an anomaly can be detected through a single sensorreading. For example, if the power supply draws too much current, itshuts down, or if a lid is opened during machining, the laser can bedisabled. In other implementations, sensor data can be aggregated overtime and analyzed to determine that an anomaly has occurred. This kindof anomaly detection is more difficult, as characteristic profiles ofanomalies generally need to be determined, sensors chosen and alignedcarefully, and anomalous events and standard events scrutinized to beable to reliably differentiate between the two.

One example of an anomaly can be a stepper motor that advanced most, butnot all, of the steps requested of it. This phenomenon, called “skippinga step”, is common when the mechanical systems become clogged or jammed.Missing a step causes a distinctive set of forces and motions that canbe registered by an appropriate sensor such as an accelerometer.However, arduous experimentation is required to determine the preciseset of acceleration parameters that indicate a missed step as opposed toother forces that made more typically be present. The profile can varybased on the machine, the instructions, the position of the machinesconstituents such as the head and the gantry, and other factors. Forexample, if the accelerometer is not perfectly placed and aligned at thefactory, then some of the forces will appear in the wrong axis, and the“missed step” may not be detectable via the determined algorithm. Toreliably create a system that detects missed steps can take a great dealof iterative and experimental work even after the core functionality isimplemented.

Both of the prior steps attempt to anticipate the nature of the anomaly;and by their very nature, anomalies are difficult to predict, and afailure means a “false negative”—an anomaly that goes undetected. Inother implementations, instead of attempting to predict what thesignature of an anomaly would be, the system attempts to predict orcalculate the sensor signature of non-anomalous behavior. For example,the system may predict (in advance of machining) or calculate (inrealtime during machining) that the power supply will output a certainnumber of amps of current during cutting, and a certain, differentnumber of amps during motor operation. It should be noted that anyreference to predicting or forecasting sensor readings can also becalculated in realtime.

FIG. 5 is a system diagram illustrating a computer 500 receiving sensordata to compare with expected sensor data for the detection of anomaliesin the CNC machine 100, consistent with implementations of the currentsubject matter. According to some implementations, to perform thedetection of an anomalous event as described above, three types of datacan be required. First, the motion plan 510, second, component commands520 not included in the motion plan, and third, the expected sensor data532 from those components due to the instructions. There can be anexecution plan 540 that not only includes the motion plan, but alsoincludes instructions for selectively activating other components andcontrolling their operation, such as when to turn fans 552 on or off,what speed to run fans, settings for the cooling 554 or ventilationsystem, when to activate cameras 556, what images to acquire, etc. Theexecution plan 540 can be related to known or expected sensor data,stored locally on the CNC machine 100 or accessed from a database 560over a computer network, by the fact that the expected sensor data 532can be determined before the CNC machine 100 operates. In someimplementations, the motion planner (a computer program that generatesthe motion plan and/or the execution plan) can run in concert with aforecasting program 570 to both control the systems of the CNC machineand also generate a forecast 572 of the expected sensor data based onthe motion plan. A sensor data comparing program 580 can compare theexpected sensor data with the sensor data measured by sensors duringoperation of the CNC machine to determine if an anomalous event hasoccurred.

The generation of the execution plan can occur on the CNC machine 100 oron a general-purpose computer in communication with the CNC machine overa data connection. Examples of general-purpose computers can include,for example, PCs, tablet computers, smartphones, laptop computers, etc.The data connection can be, for example, the Internet, a wide areanetwork, a wireless network, a USB connection, or a serial connection.

The execution plan thus provides a comprehensive description of theoperation of the CNC machine. However, because the components in the CNCmachine can affect the operation of each other, the execution plan can,in some implementations, be generated in an iterative manner to resultin an allowable and consistent execution plan. For example, if a motionplan instructs the CNC machine to make a high speed cut, the executionfan can also include commands to turn on a fan to quickly clear thedebris. However, if the system had accessed sensor data from similarpast operations indicating that the fan could not operate to clear thattype of debris quickly enough to make a proper cut, then the cut speedcan be reduced to an acceptable level.

In some implementations, a computer program, for example a forecastingprogram, can forecast (or model) an expected response from one or moresubsystems of the CNC machine 100. Alternatively, the expected responsecan be stored in a computer memory and accessed by the CNC machine 100or the computer executing the forecasting program. In one example, ifthe forecasting program has expected responses (known from the executionplan) from one of the motors, then that same the forecasting program canforecast the behavior of sensors in the CNC machine 100 that areaffected by the motor, for example an optical shaft encoder on that samemotor. The forecast can be generated based on the execution plan andused to detect anomalies as described below.

Use of the expected sensor data from the forecast presupposes that thereare no components of the CNC machine that affect the sensors inunanticipated ways. For example, the forecasting program for the sensorson the laser head can accurately forecast the position and motion of thelaser head. Thus, the forecasting program can forecast the readings ofone or more position sensors on the laser head. This is not true ifanother subsystem—for example a fan, which is turned on withoutknowledge of the motion planner—affects the sensor, for example bycausing vibrations that are transmitted through to the laser head. Ifthe system is aware of all intended subsystems that can affect thesensor readings, then if the system can forecast the sensor readingsaccurately within some margin of error to account for normal outsideinterference (for example vibrations from people walking nearby), thenany deviation from the sensor readings is of concern and should beinvestigated. Further actions can be taken in response to the anomalydetection, for example, shutting down the CNC machine 100 or putting oneor more components into a safe state, alerting a user with an alarm orother electronic message, etc. Alternatively, after the action orcorrective action, new motion or execution plans can be generated orexecuted. Executing the motion plan can include proceeding withoutchange to the motion plan or the forecast. Going back to generating theexecution plan can then include updating the motion plan andconsequently the expected sensor data and the forecast.

FIG. 6 is a process flow diagram illustrating detection of anomalies inthe CNC machine, consistent with implementations of the current subjectmatter. At 610, the motion plan can be generated by the motion planner.At 620, component commands can also be generated by the motion planner.At 660, the execution plan can be generated by combining the motion planand the component commands. At 640, expected sensor data can be accessedfrom a computer memory. At 650, the execution plan can be executed bythe CNC machine. At 460, during operation of the CNC machine 100, sensordata can be acquired.

At 670, with an execution plan in place, the CNC machine 100 can detectanomalies by monitoring sensor data generated by any of the sensors andcomparing that sensor data with the forecast. The forecast, as describedabove, includes expected sensor data for the sensor over a course of theexecution plan. Sensor data can be acquired, for example, while making acut with the head according to the execution plan. At 670, when thesensor data is in agreement with the acquired sensor data, no anomaly isdetected and operation of the CNC machine continues according to theexecution plan as in 650. When it is detected that the sensor data for aspecific part of the execution plan deviates from the forecast for thespecific part of the sensor plan, then it can be determined that ananomalous condition has occurred. At 680, in response to determiningthat an anomaly has occurred, an action, can be performed. Actions caninclude notifying the user of the CNC machine, stopping operation of theCNC machine, changing operation of the CNC machine, turning a laser onor off, changing the laser power, taking an image with a camera, etc.

In many cases, there may be an allowable variation. For example, a smallamount of vibration can be expected due to the motion of people nearby,or current readings through a resistive element can vary slightly basedon uncharacterized ambient conditions such as humidity. The degree ofallowable variation can be constant, for example a reading may always beallowed a +/−10% buffer, or it may be forecasted by the motion plan—forexample, when motors are moving there may be a very small margin ofallowance for unusual vibrations, but when the fans are running at fullpower a greater variation in vibration may be expected as the fans'vibration characteristics are less consistent than the motors'.

Below are some specific sensors implemented to perform functions similarto the above described process:

-   -   1) Position sensors, for example accelerometers, which measure        acceleration and other derivatives of position. These can be        affected by, for example, motors, fans, cooling pumps, speakers,        etc. In this example, a spurious acceleration (such as an        off-balance fan) or a missing acceleration (such as an        instruction to move that had no effect) would both be detected        as anomalies. Here, the corrective action can include, for        example, increasing or decreasing an acceleration of the head to        compensate.    -   2) Temperature sensors can be affected by laser output, power        dissipated by the power supply, cooling units such as        thermoelectric coolers, fans, the motion of the machine created        by the motors, etc. It is also affected by the ambient        temperature, so any forecast of the temperature sensor reading        must either allow for variation such as might be found in the        normal operational envelope of the system. In some        implementations, there can be a separate temperature sensor to        measure ambient air only, so that factor may be subtracted from        the system to isolate temperature variations arising from        internal anomalies. In this example, the system might detect        either a failure of a cooling unit (temperature higher than        forecasted) or a failure of the laser tube (temperature not        rising as predicted when the laser is instructed to fire). Here,        the corrective action can include, for example, increasing the        output of a redundant cooling unit, alerting a user, or        executing a controlled shutdown of the CNC machine.

This method of anomaly detection is unique because an anomaly, such as amissed stepper motor step, does not need to be recognized by aparticular set of sensor readings. Instead, the system observes that thesensor readings are not as expected, and alerts the user for furtherdiagnostics. While the readings can be subsequently analyzed to try anddetermine the cause of the anomaly, for example the skipped steppermotor step, there is at least a confirmation that an anomaly occurred.

This approach is further desirable because anomalous behavior is bydefinition rare, whereas behavior within normal parameters is common.That makes it possible to aggregate large amounts of data to account foracceptable variations in sensor data, excluding only anomalous data. ACNC machine 100 connected to the internet can continually report sensorreadings and continually update its sensitivity to anomalous behavior,improving over time.

For example, it may be determined by testing a prototype unit that, if asingle fan is running, vibrations up to a certain threshold areacceptable sensor reading for an accelerometer. However, a study ofreturned units and their vibration signatures may find that in factvibrations over a different, lower threshold indicate a high likelihoodof failure in the future. In this case, the threshold for an anomalousreading would be reduced. Similarly, if the laser repeatedly paused andreported a detected anomaly when the user simply walked past, this couldbe reported and the accelerometer sensor reading threshold raised toeliminate false positives.

Detecting Errors in Output

The cameras can detect a wide range of errors in output, allowingvarious techniques to be used to compensate. Some basic examplesinclude:

-   -   1) Burn marks, melting, or other material issues can require a        different approach to machining, for example, reduced power,        multiple low-power passes, masking, etc., or simply using a        different material.    -   2) Parts falling under the grate: If the material is placed on        rails, a hex grid, or other surface to keep it from sitting on        the bottom plate, a common situation with lasers, the material        may fall down when cut free. The material can then slide under        other material and be cut twice, or if further cuts are to be        made on the material, they can be out of focus because the        material has fallen down.    -   3) Cut failure: If something interrupts the beam, the laser        fails, or other problems occur, this can be detected by the        cameras.    -   4) Cut power lower than expected: If there is a software or        hardware fault and the output power is less than expected, there        are a number of visual cues that can be apparent: marks on the        material, inadequate penetration of the material, in the case of        a CNC bit stalling (bit not turning).    -   5) Wrong settings for material: The calibration process        (described elsewhere in this application) means that the system        knows what to expect from various power levels and speeds; if        these are absent, it can be that the wrong material is loaded.        The operator can be notified and the new material can be        calibrated.    -   6) Material that has already been cut is curling up because of        heat: This often happens with leather and can cause subsequent        cuts to be misaligned. In this case, the cut could be paused and        the operator notified to hold the material down, for example,        with tape or magnets.    -   7) Material that has been cut loose blows away and so cannot be        subsequently cut: This is often a problem with paper or other        light, thin materials. When cutting concentric circles, if the        outer circle is cut first, the paper may be blown away from        exhaust airflow before the inner circle can be cut.    -   8) Similar to the above, when scrap pieces are cut out of a        lightweight material such as paper, airflow can blow them into        an area that will be cut later. Unlike the previous case, in        this case the paper is scrap, but it may blow in the way of the        laser. If this occurs, the laser power may be attenuated by the        scrap and it may not cut through the material properly.

Inspecting Unusual Behavior

In some cases the system may be able to determine that there is aproblem but be unable to diagnose it based on non-image sensors. For asystem where image processing happens slowly, for example on a slowprocessor or remotely via the internet, the system may be able toquickly detect that the motors used to move the head have begunconsuming too much current. The system could shut down the motorsimmediately, and then use the camera to inspect the area and look forobstructions.

Any or all of the above errors can be detected by the cameras and imagerecognition system. Appropriate alerts can be issued to users,shop-keepers, or personnel that maintain the server or other CNC machine100 software distribution personnel. The operation of the CNC machine100 can be altered or stopped in response to the detected errorsaccording to program instructions.

Detecting Fire

Certain circumstances could cause a fire to occur in the cutting area.The presence of fire and/or smoke can be detected by the cameras.Furthermore, various extinguishing approaches can be attempted, andtheir efficacy measured. For example, a small flame can be blown out bymoving a source of air (sometimes found on the CNC head) over the fire.However, this can exacerbate a large fire. A camera can both determinewhether or not the CNC machine 100 should try to blow out the fire, andabort the attempt if it appears to be failing.

In some cases, auxiliary options may be available, and the image systemcan decide which one to invoke, and how. For example, it might dischargean internal chemical fire extinguisher only for larger fires, allowingsmaller ones to burn themselves out. In another example, it might sendan email to an operator when there is any flame event, and issue a phonecall or text message if the fire is large or continues for more than afew seconds.

Detecting Obstructions

A common source of problems in CNC machines are materials inadvertentlyleft in the machining area, for example a tool left on the bed of theCNC machine 100. An imaging system can detect unknown objects, forexample by recognizing objects tall enough to cause a collision with thehead, or objects located in positions that are off limits to materialsfor example outside the perimeter of the bed, and then take appropriateaction such as notifying the user before beginning material processing.

Obstructions can also appear during machining: sometimes a piece can becut in such a way that one end falls through a space below the materialwhile the other end tips up. The cameras can detect such obstructionsby, for example, comparing the observed material locations to thepredicted material locations, or by observing that the material isprotruding vertically more than before, or by observing that thematerial is protruding high enough that it will interfere with themovement mechanism, and take appropriate action.

Finally, a common cause of failure in CNC milling is instructions thatcause the mill to collide with the material being worked on. Forexample, if the bit attempts to move to an area occupied by material, itwill collide with the material, potentially inflicting serious damage.

Under normal circumstances, “CAM” (computer aided machining) softwareanalyzes the material and cut path to ensure that this doesn't occur,for example lifting the bit over the material when moving it. For thisto work, the CAM software must be correctly informed, in advance, of theshape of the material. However, if the material is a different shapethan the CAM software assumes, then a collision can occur anyway. Thecameras can be used to prevent this by directly observing the potentialcollision before it occurs. If a potential collision is detected, thecomponent about to collide with the material or other object can, forexample, be halted, the motion plan updated, or both.

Other Methods of Anomaly Detection

Any of the sensors and methods for analyzing or using sensor data can beused individually or in combination. In some cases, approachesconsistent with the current subject matter can provide redundancy. Forexample, if a smoke detector fails, image analysis from cameras candetect the presence of smoke. Sensors can be combined to providediffering levels or types of information. For example, a smoke detectorcould determine that smoke is in the CNC machine 100. The cameras couldthen provide image data and/or change their operation, to providedetailed imaging of areas of the CNC machine 100 where the smoke isoriginating or collecting. Alternatively, use of data from sensors withother primary functions for anomaly detection can enable a lower cost ofmanufacture.

Watchdog Monitoring

In some implementations, a watchdog program can be executed by the CNCmachine 100, or a remote computer receiving a feed of sensor data fromthe CNC machine 100. The watchdog program can poll the condition of theCNC machine 100 by either requesting sensor data or analyzing the sensordata arriving. If the sensor data is normal, no additional actions needto occur. If the sensor data stops arriving, for whatever reason, thewatchdog program can instruct the CNC machine 100 to execute furtherinstructions, such as a controlled shutdown. If the watchdog programreceives a definitive error state, the information can be logged orcommunicated to a user.

Controlled Shutdown

FIG. 7 is a process flow chart illustrating features of a method for acontrolled shutdown, consistent with implementations of the currentsubject matter. In some implementations, when any anomalous condition isdetected, the following events can occur, in any order. First, the laseror other tool or component in the CNC machine 100 can turn off or switchto a safe operating mode. Second, the head 160 can assume a safeposition, for example out of the way. This can allow a user to retrievethe material or access the CNC machine 100 for repairs, but can alsoprotect the components inside the head 160 from being bumped or touched.Alternately, the head 160 can be arrested immediately, so there is norisk of colliding with the user during movement. Third, a user can bealerted and the shutdown event logged along with any detected errorstates or other diagnostic data from the sensors in the CNC machine 100.

In another implementation, the controlled shutdown can be based on, orincorporated with, the motion plan. A hard shutdown can sometimes domore damage than the condition that triggered it. A machine bit canbreak, a thermal gradient on an optic can be exceeded, a project inprogress can be left in an unsafe or partially completed state thatwould be difficult to resume, etc. The command for the shutdown,depending on the reason for the shutdown, can be executed immediately,or after a predetermined amount of the motion plan executes. Forexample, if the CNC machine 100 was set to stop at a certain time, themotion plan can be accessed to determine an optimum stopping point, evenif this would exceed the scheduled shutdown time. In anotherimplementation, if a laser is running and the lid is opened, the safetyof the user could take precedence and the CNC machine 100 could shutdown the laser, regardless of the consequence to the project.Intermediate steps could be taken as well, for example, going back tothe case of the lid 130 being opened, a beam block can immediately moveinto position to again restrict the beam to an enclosed space. In themeantime, the laser can then perform a controlled shutdown, for exampleby letting some components ramp down, cooling systems run, etc.

In some implementations, in response to a detected anomaly, an emergencymotion plan can be substituted for the current motion plan. Theemergency motion plan can contain instructions for any or all of thesystems of the CNC machine. The instructions can be different than inthe current motion plan and, for example, result in the fastest safeshutdown of components. For example, the emergency motion plan caninclude decelerating motors at a predetermined pace such the motors donot skip steps. The state of the CNC machine 100 can be stored in acomputer memory. The state can include, for example, positions,velocities, accelerations, orientations, and so on, of any or allcomponents of the CNC machine 100.

As described above, and shown in FIG. 7 , at 710, operations (e.g.shutdown operations) occurring in the CNC machine 100 can be determinedthat are to be halted immediately. Other operations (e.g. continuingoperations) can be operations occurring in the CNC machine 100 that cancontinue. Instructions to the CNC machine 100 can include halting theshutdown operations.

At 720, further instructions can be generated to halt the continuingoperations without deviating from the motion plan.

At 730, the CNC machine 100 can execute the above instructions.

Restart After Controlled Shutdown

FIG. 8 is a process flow chart illustrating features of a method for arestarting the CNC machine 100 after the controlled shutdown, consistentwith implementations of the current subject matter. Similar to thefeature of being restarted after a pause, also described in related U.S.Provisional Patent Application 62/115,562, the CNC machine 100 canresume after a controlled shutdown. In this case, the motion plan can beupdated to allow for the possibility that some operations were nothalted in an optimal manner. For example, if a cut was interrupted, thecameras can re-image the cut with the motion plan then proceedingaccording to analysis of the image data. This can include, for example,resuming the motion plan at the exact spot that it was interrupted, orproceeding from an earlier part of the motion plan so that the head isat the same velocity when the cut restarts as when it was aborted, oreven proceeding from a later part of the motion plan. Data of the stateof the CNC machine 100 can be recalled from computer memory andimplemented when returning the CNC machine to the state it had prior tothe shutdown.

As described above, and shown in FIG. 8 , at 810, the state of thematerial can be identified by a sensor.

At 820, the state of the material can be compared with the motion plan.

At 830, the motion plan can be executed based on the comparison suchthat the motion plan is completed as if the instructions from acontrolled shutdown had not been executed.

FIG. 9 is a process flow chart illustrating features of a method fordetermining that an anomalous condition has occurred in the CNC machine,consistent with implementations of the current subject matter.

At 910, sensor data generated by a sensor of the CNC machine can becompared with a forecast including expected sensor data for the sensorover a course of an execution plan. The execution plan can includemaking at least one cut with a movable laser cutting head of the CNCmachine. The sensor data can be generated during execution of theexecution plan.

At 920, it can be detected that the sensor data at a specific part ofthe execution plan deviates from the forecast for the specific part ofthe execution plan.

At 930, it can be determined that an anomalous condition of the CNCmachine has occurred based on the detecting.

At 940, an action can be performed based on the determining. In somevariations, the action can be a corrective action. In other variationsthe action can be a notification to the user of the anomalous condition.

One or more aspects or features of the subject matter described hereincan be realized in digital electronic circuitry, integrated circuitry,specially designed application specific integrated circuits (ASICs),field programmable gate arrays (FPGAs) computer hardware, firmware,software, and/or combinations thereof. These various aspects or featurescan include implementation in one or more computer programs that areexecutable and/or interpretable on a programmable system including atleast one programmable processor, which can be special or generalpurpose, coupled to receive data and instructions from, and to transmitdata and instructions to, a storage system, at least one input device,and at least one output device. The programmable system or computingsystem may include clients and servers. A client and server aregenerally remote from each other and typically interact through acommunication network. The relationship of client and server arises byvirtue of computer programs running on the respective computers andhaving a client-server relationship to each other.

These computer programs, which can also be referred to programs,software, software applications, applications, components, or code,include machine instructions for a programmable processor, and can beimplemented in a high-level procedural language, an object-orientedprogramming language, a functional programming language, a logicalprogramming language, and/or in assembly/machine language. As usedherein, the term “machine-readable medium” refers to any computerprogram product, apparatus and/or device, such as for example magneticdiscs, optical disks, memory, and Programmable Logic Devices (PLDs),used to provide machine instructions and/or data to a programmableprocessor, including a machine-readable medium that receives machineinstructions as a machine-readable signal. The term “machine-readablesignal” refers to any signal used to provide machine instructions and/ordata to a programmable processor. The machine-readable medium can storesuch machine instructions non-transitorily, such as for example as woulda non-transient solid-state memory or a magnetic hard drive or anyequivalent storage medium. The machine-readable medium can alternativelyor additionally store such machine instructions in a transient manner,such as for example as would a processor cache or other random accessmemory associated with one or more physical processor cores.

To provide for interaction with a user, one or more aspects or featuresof the subject matter described herein can be implemented on a computerhaving a display device, such as for example a cathode ray tube (CRT) ora liquid crystal display (LCD) or a light emitting diode (LED) monitorfor displaying information to the user and a keyboard and a pointingdevice, such as for example a mouse or a trackball, by which the usermay provide input to the computer. Other kinds of devices can be used toprovide for interaction with a user as well. For example, feedbackprovided to the user can be any form of sensory feedback, such as forexample visual feedback, auditory feedback, or tactile feedback; andinput from the user may be received in any form, including, but notlimited to, acoustic, speech, or tactile input. Other possible inputdevices include, but are not limited to, touch screens or othertouch-sensitive devices such as single or multi-point resistive orcapacitive trackpads, voice recognition hardware and software, opticalscanners, optical pointers, digital image capture devices and associatedinterpretation software, and the like.

In the descriptions above and in the claims, phrases such as “at leastone of” or “one or more of” may occur followed by a conjunctive list ofelements or features. The term “and/or” may also occur in a list of twoor more elements or features. Unless otherwise implicitly or explicitlycontradicted by the context in which it used, such a phrase is intendedto mean any of the listed elements or features individually or any ofthe recited elements or features in combination with any of the otherrecited elements or features. For example, the phrases “at least one ofA and B;” “one or more of A and B;” and “A and/or B” are each intendedto mean “A alone, B alone, or A and B together.” A similarinterpretation is also intended for lists including three or more items.For example, the phrases “at least one of A, B, and C;” “one or more ofA, B, and C;” and “A, B, and/or C” are each intended to mean “A alone, Balone, C alone, A and B together, A and C together, B and C together, orA and B and C together.” Use of the term “based on,” above and in theclaims is intended to mean, “based at least in part on,” such that anunrecited feature or element is also permissible.

The subject matter described herein can be embodied in systems,apparatus, methods, and/or articles depending on the desiredconfiguration. The implementations set forth in the foregoingdescription do not represent all implementations consistent with thesubject matter described herein. Instead, they are merely some examplesconsistent with aspects related to the described subject matter.Although a few variations have been described in detail above, othermodifications or additions are possible. In particular, further featuresand/or variations can be provided in addition to those set forth herein.For example, the implementations described above can be directed tovarious combinations and subcombinations of the disclosed featuresand/or combinations and subcombinations of several further featuresdisclosed above. In addition, the logic flows depicted in theaccompanying figures and/or described herein do not necessarily requirethe particular order shown, or sequential order, to achieve desirableresults. Other implementations may be within the scope of the followingclaims.

What is claimed is:
 1. A computing system, comprising: at least oneprocessor; at least one non-transitory computer-readable medium; andprogram instructions stored on the at least one non-transitorycomputer-readable medium that are executable by the at least oneprocessor such that the computing system is configured to: access anexecution plan for a computer-numerically-controlled machine, theexecution plan describing actions to be performed by at least onecomponent of the computer-numerically-controlled machine in order todeliver electromagnetic energy for causing one or more changes in amaterial; prior to execution of the execution plan by thecomputer-numerically-controlled machine, determine expected sensor datafor at least one sensor of the computer-numerically-controlled machinebased on the execution plan; cause the computer-numerically-controlledmachine to execute the execution plan and thereby deliver theelectromagnetic energy for causing one or more changes in the material;while the computer-numerically-controlled machine is executing theexecution plan, obtain actual sensor data generated by the at least onesensor of the computer-numerically-controlled machine and compare theactual sensor data with the expected sensor data; detect an occurrenceof an anomalous condition at the computer-numerically-controlled machinebased on the comparison indicating at least a threshold deviation of theactual sensor data from the expected sensor data; and based on detectingthe occurrence of the anomalous condition, cause thecomputer-numerically-controlled machine to perform an action comprisingat least one of: (i) reducing an output of the electromagnetic energy,(ii) blocking the electromagnetic energy, (iii) reducing a thermaloutput of one or more heat generating components of thecomputer-numerically-controlled machine, or (iv) locking a lid of thecomputer-numerically-controlled machine.
 2. The computing system ofclaim 1, wherein the at least one sensor comprises a motion sensoroperatively coupled to the at least one component of thecomputer-numerically-controlled machine to measure a motion of the atleast one component.
 3. The computing system of claim 2, furthercomprising program instructions stored on the at least onenon-transitory computer-readable medium that are executable by the atleast one processor such that the computing system is configured to:based on detecting the occurrence of the anomalous condition, cause thecomputer-numerically-controlled machine to change the motion of the atleast one component.
 4. The computing system of claim 1, wherein the atleast one sensor comprises a temperature sensor configured to measure atemperature of a working area within an interior space of thecomputer-numerically-controlled machine that contains at least a portionof the material.
 5. The computing system of claim 4, wherein thetemperature sensor is a first temperature sensor, and wherein the atleast one sensor further comprises a second temperature sensorconfigured to measure an ambient temperature of thecomputer-numerically-controlled machine.
 6. The computing system ofclaim 5, wherein the expected sensor data comprises a difference betweenan expected temperature of the working area within the interior space ofthe computer-numerically-controlled machine and an expected ambienttemperature of the computer-numerically-controlled machine, and whereinthe actual sensor data comprises a difference between temperaturesmeasured by the first and second temperature sensors.
 7. The computingsystem of claim 1, further comprising program instructions stored on theat least one non-transitory computer-readable medium that are executableby the at least one processor such that the computing system isconfigured to: based on detecting the occurrence of the anomalouscondition, generate an alert.
 8. The computing system of claim 1,wherein the at least one sensor comprises a current sensor configured tomeasure an electrical current supplied to the at least one component. 9.The computing system of claim 1, wherein the at least one sensorcomprises a pressure sensor configured to measure an air pressure withinan interior space of the computer-numerically-controlled machine. 10.The computing system of claim 1, wherein the at least one sensorcomprises a smoke sensor configured to measure a quantity of smokepresent within an interior space of the computer-numerically-controlledmachine.
 11. A non-transitory computer-readable medium, wherein thenon-transitory computer-readable medium is provisioned with programinstructions that, when executed by at least one processor, cause acomputing system to: access an execution plan for acomputer-numerically-controlled machine, the execution plan describingactions to be performed by at least one component of thecomputer-numerically-controlled machine in order to deliverelectromagnetic energy for causing one or more changes in a material;prior to execution of the execution plan by thecomputer-numerically-controlled machine, determine expected sensor datafor at least one sensor of the computer-numerically-controlled machinebased on the execution plan; cause the computer-numerically-controlledmachine to execute the execution plan and thereby deliver theelectromagnetic energy for causing one or more changes in the material;while the computer-numerically-controlled machine is executing theexecution plan, obtain actual sensor data generated by the at least onesensor of the computer-numerically-controlled machine and compare theactual sensor data with the expected sensor data; detect an occurrenceof an anomalous condition at the computer-numerically-controlled machinebased on the comparison indicating at least a threshold deviation of theactual sensor data from the expected sensor data; and based on detectingthe occurrence of the anomalous condition, cause thecomputer-numerically-controlled machine to perform an action comprisingat least one of: (i) reducing an output of the electromagnetic energy,(ii) blocking the electromagnetic energy, (iii) reducing a thermaloutput of one or more heat generating components of thecomputer-numerically-controlled machine, or (iv) locking a lid of thecomputer-numerically-controlled machine.
 12. The non-transitorycomputer-readable medium of claim 11, wherein the at least one sensorcomprises a motion sensor operatively coupled to the at least onecomponent of the computer-numerically-controlled machine to measure amotion of the at least one component.
 13. The non-transitorycomputer-readable medium of claim 12, wherein the non-transitorycomputer-readable medium is also provisioned with program instructionsthat, when executed by at least one processor, cause the computingsystem to: based on detecting the occurrence of the anomalous condition,cause the computer-numerically-controlled machine to change the motionof the at least one component.
 14. The non-transitory computer-readablemedium of claim 11, wherein the at least one sensor comprises atemperature sensor configured to measure a temperature of a working areawithin an interior space of the computer-numerically-controlled machinethat contains at least a portion of the material.
 15. The non-transitorycomputer-readable medium of claim 14, wherein the temperature sensor isa first temperature sensor, wherein the at least one sensor furthercomprises a second temperature sensor configured to measure an ambienttemperature of the computer-numerically-controlled machine, wherein theexpected sensor data comprises a difference between an expectedtemperature of the working area within the interior space of thecomputer-numerically-controlled machine and an expected ambienttemperature of the computer-numerically-controlled machine, and whereinthe actual sensor data comprises a difference between temperaturesmeasured by the first and second temperature sensors.
 16. A methodcarried out by a computing system, the method comprising: accessing anexecution plan for a computer-numerically-controlled machine, theexecution plan describing actions to be performed by at least onecomponent of the computer-numerically-controlled machine in order todeliver electromagnetic energy for causing one or more changes in amaterial; prior to execution of the execution plan by thecomputer-numerically-controlled machine, determining expected sensordata for at least one sensor of the computer-numerically-controlledmachine based on the execution plan; causing thecomputer-numerically-controlled machine to execute the execution planand thereby deliver the electromagnetic energy for causing one or morechanges in the material; while the computer-numerically-controlledmachine is executing the execution plan, obtaining actual sensor datagenerated by the at least one sensor of thecomputer-numerically-controlled machine and comparing the actual sensordata with the expected sensor data; detecting an occurrence of ananomalous condition at the computer-numerically-controlled machine basedon the comparison indicating at least a threshold deviation of theactual sensor data from the expected sensor data; and based on detectingthe occurrence of the anomalous condition, causing thecomputer-numerically-controlled machine to perform an action comprisingat least one of: (i) reducing an output of the electromagnetic energy,(ii) blocking the electromagnetic energy, (iii) reducing a thermaloutput of one or more heat generating components of thecomputer-numerically-controlled machine, or (iv) locking a lid of thecomputer-numerically-controlled machine.
 17. The method of claim 16,wherein the at least one sensor comprises a motion sensor operativelycoupled to the at least one component of thecomputer-numerically-controlled machine to measure a motion of the atleast one component.
 18. The method of claim 17, further comprising:based on detecting the occurrence of the anomalous condition, causingthe computer-numerically-controlled machine to change the motion of theat least one component.
 19. The method of claim 16, wherein the at leastone sensor comprises a temperature sensor configured to measure atemperature of a working area within an interior space of thecomputer-numerically-controlled machine that contains at least a portionof the material.
 20. The method of claim 19, wherein the temperaturesensor is a first temperature sensor, wherein the at least one sensorfurther comprises a second temperature sensor configured to measure anambient temperature of the computer-numerically-controlled machine,wherein the expected sensor data comprises a difference between anexpected temperature of the working area within the interior space ofthe computer-numerically-controlled machine and an expected ambienttemperature of the computer-numerically-controlled machine, and whereinthe actual sensor data comprises a difference between temperaturesmeasured by the first and second temperature sensors.